- published: 25 Jun 2012
- views: 71025
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Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature;=youtu.be
Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature;=youtu.be
This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above.
- published: 18 Apr 2013
- views: 240829
Table of Contents:
00:00 - Operations ManagementForecasting
00:03 - Objectives
00:09 - Outline
00:24 - What is Forecasting?
01:03 - Forecasting Provides a Competitive Advantage for Disney
01:28 - Forecasting Provides a Competitive Advantage for Disney
02:21 - Question – Importance?
03:17 - Forecasting Time Horizons
04:23 - Strategic Importance of Forecasting
05:51 - The Realities!
06:26 - Forecasting Approaches
06:52 - Forecasting Approaches
07:04 - Overview of Qualitative Methods
07:39 - Overview of Qualitative Methods
08:25 - Jury of Executive Opinion
09:18 - Delphi Method
09:46 - Sales Force Composite
09:59 - Market Survey
10:52 - Forecasting Variation Components
11:05 - Trend Component
11:23 - Seasonal Component
12:10 - Cyclical Component
12:29 - Random Component
12:46 - Overview of Quantitative Approaches
13:16 - Naive Approach
13:39 - Moving Average Method
14:03 - Moving Average Example
15:17 - Weighted Moving Average
15:40 - Weighted Moving Average
16:59 - Weighted Moving Average
17:00 - Potential Problems With Moving Average
17:51 - Exponential Smoothing
18:21 - Exponential Smoothing
19:14 - Exponential Smoothing Example
19:20 - Exponential Smoothing Example
19:51 - Exponential Smoothing Example
19:58 - Effect of Smoothing Constants
20:14 - Impact of Different
20:45 - Effect of Smoothing Constants
20:46 - Exponential Smoothing Example
22:47 - Common Measures of Error
23:27 - Determining the MAD
24:17 - Monitoring and Controlling Forecasts
24:53 - Determining the MAD
25:31 - Monitoring and Controlling Forecasts
26:34 - Associative Forecasting
26:43 - Associative Forecasting
27:29 - Associative Forecasting Example
27:58 - Multiple-Regression Analysis
28:15 - Multiple-Regression Analysis
28:25 - Acknowledgements
- published: 31 Mar 2015
- views: 3121
In this video I cover the basics of Time Series Forecasting by offering everyday examples of how TSF is used in science and economics. Also discussed are the four time decomposition patterns; trend, seasonality, cycle, and regularity. Thanks for watching! For my complete video library organized by playlist, please go to my video page here:
http://www.youtube.com/user/BCFoltz/videos?flow=list&view;=1&live;_view=500&sort;=dd
- published: 05 Jul 2012
- views: 20674
Lecture series on Project and Production Management by Prof. Arun kanda, Department of Mechanical Engineering, IIT Delhi. For more details on NPTEL visit http://nptel.iitm.ac.in
- published: 26 Apr 2008
- views: 94336
Prashant Bhuyan, co-founder of the successful fin-tech start-up Alpha Modus, and IBM Watson discuss how Watson analytics has helped Alpha Modus improve their predictive accuracy by over 500%. IBM Watson helps investors outthink uncertainty. Learn more at: http://ibm.co/23lUSWK
Subscribe to the IBM YouTube Channel: https://www.youtube.com/subscription_center?add_user=ibm
Learn More about IBM Watson:
https://www.youtube.com/user/IBMWatsonSolutions
https://www.facebook.com/ibmwatson/
https://www.twitter.com/ibmwatson
https://www.linkedin.com/company/ibm-watson
- published: 07 Apr 2016
- views: 2178
Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm
Learn:
1) (00:11) Forecasting using Regression when we see a trend and belief the trend will extend into the future. Will will predict outside the Experimental Region with the Assumption is that trend continues into future.
2) (00:53) Forecast a Trend using Simple Liner Regression. We use the Data Analysis Regression Feature.
3) (03:22) Learn how to use FORECAST function.
4) (08:57) Forecast a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter using Multiple Linear Regression. We use the Data Analysis Regression Feature.
5) (12:12) VLOOKUP & MATCH functions with Mixed Cell References to populate new categorical variable columns with the Boolean ones and zeroes.
6) (19:53) Forecast a Trend with a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter and one quantitative variable using Multiple Linear Regression. We use the Data Analysis Regression Feature.
7)
Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.
- published: 04 Dec 2015
- views: 2123
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
- published: 21 Feb 2014
- views: 32909
In this video, you will learn how to find the demand forecast using linear regression.
- published: 24 Feb 2014
- views: 7830
David Orrell, Oxford, UK.
Mathematician and writer, author of numerous publications on scientific forecasting.
About TEDx
In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.
- published: 19 Apr 2012
- views: 3037
Forecasting is the process of making statements about events whose actual outcomes (typically) have not yet been observed. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgemental methods. In any case, the data must be up to date in order for the forecast to be as accurate as possible. Usage can differ between areas of application: for example in hydrology, the terms "forecast" and "forecasting" are sometimes reserved for estimates of values at certain specific future times, while the term "prediction" is used for more general estimates, such as the number of times floods will occur over a long period.
Risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts.
This page contains text from Wikipedia, the Free Encyclopedia -
http://en.wikipedia.org/wiki/Forecasting
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
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53:01Mod-02 Lec-02 Forecasting -- Time series models -- Simple Exponential smoothing
Mod-02 Lec-02 Forecasting -- Time series models -- Simple Exponential smoothingMod-02 Lec-02 Forecasting -- Time series models -- Simple Exponential smoothing
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in -
18:06Excel - Time Series Forecasting - Part 1 of 3
Excel - Time Series Forecasting - Part 1 of 3Excel - Time Series Forecasting - Part 1 of 3
Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature;=youtu.be Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature;=youtu.be This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above. -
28:33Forecasting
ForecastingForecasting
Table of Contents: 00:00 - Operations ManagementForecasting 00:03 - Objectives 00:09 - Outline 00:24 - What is Forecasting? 01:03 - Forecasting Provides a Competitive Advantage for Disney 01:28 - Forecasting Provides a Competitive Advantage for Disney 02:21 - Question – Importance? 03:17 - Forecasting Time Horizons 04:23 - Strategic Importance of Forecasting 05:51 - The Realities! 06:26 - Forecasting Approaches 06:52 - Forecasting Approaches 07:04 - Overview of Qualitative Methods 07:39 - Overview of Qualitative Methods 08:25 - Jury of Executive Opinion 09:18 - Delphi Method 09:46 - Sales Force Composite 09:59 - Market Survey 10:52 - Forecasting Variation Components 11:05 - Trend Component 11:23 - Seasonal Component 12:10 - Cyclical Component 12:29 - Random Component 12:46 - Overview of Quantitative Approaches 13:16 - Naive Approach 13:39 - Moving Average Method 14:03 - Moving Average Example 15:17 - Weighted Moving Average 15:40 - Weighted Moving Average 16:59 - Weighted Moving Average 17:00 - Potential Problems With Moving Average 17:51 - Exponential Smoothing 18:21 - Exponential Smoothing 19:14 - Exponential Smoothing Example 19:20 - Exponential Smoothing Example 19:51 - Exponential Smoothing Example 19:58 - Effect of Smoothing Constants 20:14 - Impact of Different 20:45 - Effect of Smoothing Constants 20:46 - Exponential Smoothing Example 22:47 - Common Measures of Error 23:27 - Determining the MAD 24:17 - Monitoring and Controlling Forecasts 24:53 - Determining the MAD 25:31 - Monitoring and Controlling Forecasts 26:34 - Associative Forecasting 26:43 - Associative Forecasting 27:29 - Associative Forecasting Example 27:58 - Multiple-Regression Analysis 28:15 - Multiple-Regression Analysis 28:25 - Acknowledgements -
12:51Operations Management 101: Time-Series Forecasting Introduction
Operations Management 101: Time-Series Forecasting IntroductionOperations Management 101: Time-Series Forecasting Introduction
In this video I cover the basics of Time Series Forecasting by offering everyday examples of how TSF is used in science and economics. Also discussed are the four time decomposition patterns; trend, seasonality, cycle, and regularity. Thanks for watching! For my complete video library organized by playlist, please go to my video page here: http://www.youtube.com/user/BCFoltz/videos?flow=list&view;=1&live;_view=500&sort;=dd -
58:48Lecture - 34 Forecasting
Lecture - 34 ForecastingLecture - 34 Forecasting
Lecture series on Project and Production Management by Prof. Arun kanda, Department of Mechanical Engineering, IIT Delhi. For more details on NPTEL visit http://nptel.iitm.ac.in -
15:22Forecasting - Exponential Smoothing
Forecasting - Exponential SmoothingForecasting - Exponential Smoothing
Video tutorial of forecasting using exponential smoothing -
16:00ORGL 330: Forecasting Methods (Ch 14-15)
ORGL 330: Forecasting Methods (Ch 14-15)ORGL 330: Forecasting Methods (Ch 14-15)
-
0:31Alpha Modus + IBM Watson on Cognitive Forecasting
Alpha Modus + IBM Watson on Cognitive ForecastingAlpha Modus + IBM Watson on Cognitive Forecasting
Prashant Bhuyan, co-founder of the successful fin-tech start-up Alpha Modus, and IBM Watson discuss how Watson analytics has helped Alpha Modus improve their predictive accuracy by over 500%. IBM Watson helps investors outthink uncertainty. Learn more at: http://ibm.co/23lUSWK Subscribe to the IBM YouTube Channel: https://www.youtube.com/subscription_center?add_user=ibm Learn More about IBM Watson: https://www.youtube.com/user/IBMWatsonSolutions https://www.facebook.com/ibmwatson/ https://www.twitter.com/ibmwatson https://www.linkedin.com/company/ibm-watson -
25:22Basic Excel Business Analytics #56: Forecasting with Linear Regression: Trend & Seasonal Pattern
Basic Excel Business Analytics #56: Forecasting with Linear Regression: Trend & Seasonal PatternBasic Excel Business Analytics #56: Forecasting with Linear Regression: Trend & Seasonal Pattern
Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm Learn: 1) (00:11) Forecasting using Regression when we see a trend and belief the trend will extend into the future. Will will predict outside the Experimental Region with the Assumption is that trend continues into future. 2) (00:53) Forecast a Trend using Simple Liner Regression. We use the Data Analysis Regression Feature. 3) (03:22) Learn how to use FORECAST function. 4) (08:57) Forecast a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter using Multiple Linear Regression. We use the Data Analysis Regression Feature. 5) (12:12) VLOOKUP & MATCH functions with Mixed Cell References to populate new categorical variable columns with the Boolean ones and zeroes. 6) (19:53) Forecast a Trend with a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter and one quantitative variable using Multiple Linear Regression. We use the Data Analysis Regression Feature. 7) Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video. -
10:30Forecasting - Simple moving average - Example 1
Forecasting - Simple moving average - Example 1Forecasting - Simple moving average - Example 1
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting. -
24:05Forecasting - Linear regression - Example 1 - Part 1
Forecasting - Linear regression - Example 1 - Part 1Forecasting - Linear regression - Example 1 - Part 1
In this video, you will learn how to find the demand forecast using linear regression. -
18:31Forecasting in the past, present, and future: David Orrell at TEDxParkKultury
Forecasting in the past, present, and future: David Orrell at TEDxParkKulturyForecasting in the past, present, and future: David Orrell at TEDxParkKultury
David Orrell, Oxford, UK. Mathematician and writer, author of numerous publications on scientific forecasting. About TEDx In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized. -
16:37Forecasting with Seasonality
Forecasting with SeasonalityForecasting with Seasonality
A brief Excel demonstration of solving a forecasting problem with seasonality. -
6:46Forecasting Financial Statements - Part 1.mp4
Forecasting Financial Statements - Part 1.mp4Forecasting Financial Statements - Part 1.mp4
This is the first video on "Forecasting", where we start to think about how we go from what we know about a company via its financial statements to what we think the company will do in the future (financially, that is). Please leave a comment or a question!
- ARMAX
- Armstrong, J. Scott
- Box-Jenkins
- Chaos theory
- Composite forecasts
- Confidence interval
- Consensus forecasts
- Cross-sectional data
- Delphi method
- Economic forecasting
- Edward Lorenz
- Egain Forecasting
- English language
- Ensemble forecasting
- Extrapolation
- Flood forecasting
- Fluid dynamics
- Forecast by analogy
- Forecast error
- Forecast skill
- Forecasting
- Forecasting bias
- Future
- Futures studies
- Futurology
- Growth curve
- Hydrology
- Hyndman, Rob J.
- Land use forecasting
- Linear prediction
- Longitudinal study
- Market research
- Mean absolute error
- Mean squared error
- Meteorology
- Moving average
- Nicholas Rescher
- Non-parametric
- Optimism bias
- Parametric
- PECOTA
- Peter Turchin
- Planning
- Predictability
- Prediction
- Prediction interval
- Prediction market
- Probability
- Product forecasting
- Regression analysis
- Risk
- Sales Forecasting
- Scenario building
- Seymour Geisser
- Simulation
- Statistical survey
- Strategic foresight
- Time series
- Transport planning
- Trend estimation
- Uncertainty
- Weather forecasting
-
Mod-02 Lec-02 Forecasting -- Time series models -- Simple Exponential smoothing
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in -
Excel - Time Series Forecasting - Part 1 of 3
Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature;=youtu.be Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature;=youtu.be This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above. -
Forecasting
Table of Contents: 00:00 - Operations ManagementForecasting 00:03 - Objectives 00:09 - Outline 00:24 - What is Forecasting? 01:03 - Forecasting Provides a Competitive Advantage for Disney 01:28 - Forecasting Provides a Competitive Advantage for Disney 02:21 - Question – Importance? 03:17 - Forecasting Time Horizons 04:23 - Strategic Importance of Forecasting 05:51 - The Realities! 06:26 - Forecasting Approaches 06:52 - Forecasting Approaches 07:04 - Overview of Qualitative Methods 07:39 - Overview of Qualitative Methods 08:25 - Jury of Executive Opinion 09:18 - Delphi Method 09:46 - Sales Force Composite 09:59 - Market Survey 10:52 - Forecasting Variation Components 11:05 - Trend Component 11:23 - Seasonal Component 12:10 - Cyclical Component 12:29 - Random Component 12:46 - Overview of Q... -
Operations Management 101: Time-Series Forecasting Introduction
In this video I cover the basics of Time Series Forecasting by offering everyday examples of how TSF is used in science and economics. Also discussed are the four time decomposition patterns; trend, seasonality, cycle, and regularity. Thanks for watching! For my complete video library organized by playlist, please go to my video page here: http://www.youtube.com/user/BCFoltz/videos?flow=list&view;=1&live;_view=500&sort;=dd -
Lecture - 34 Forecasting
Lecture series on Project and Production Management by Prof. Arun kanda, Department of Mechanical Engineering, IIT Delhi. For more details on NPTEL visit http://nptel.iitm.ac.in -
Forecasting - Exponential Smoothing
Video tutorial of forecasting using exponential smoothing -
ORGL 330: Forecasting Methods (Ch 14-15)
-
Alpha Modus + IBM Watson on Cognitive Forecasting
Prashant Bhuyan, co-founder of the successful fin-tech start-up Alpha Modus, and IBM Watson discuss how Watson analytics has helped Alpha Modus improve their predictive accuracy by over 500%. IBM Watson helps investors outthink uncertainty. Learn more at: http://ibm.co/23lUSWK Subscribe to the IBM YouTube Channel: https://www.youtube.com/subscription_center?add_user=ibm Learn More about IBM Watson: https://www.youtube.com/user/IBMWatsonSolutions https://www.facebook.com/ibmwatson/ https://www.twitter.com/ibmwatson https://www.linkedin.com/company/ibm-watson -
Basic Excel Business Analytics #56: Forecasting with Linear Regression: Trend & Seasonal Pattern
Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm Learn: 1) (00:11) Forecasting using Regression when we see a trend and belief the trend will extend into the future. Will will predict outside the Experimental Region with the Assumption is that trend continues into future. 2) (00:53) Forecast a Trend using Simple Liner Regression. We use the Data Analysis Regression Feature. 3) (03:22) Learn how to use FORECAST function. 4) (08:57) Forecast a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter using Multiple Linear Regression. We use the Data Analysis Regression Feature. 5) (12:12) VLOOKUP & MATCH functions with Mixed Cell References to populate new categorical variable columns with the Boolean ones and... -
Forecasting - Simple moving average - Example 1
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting. -
Forecasting - Linear regression - Example 1 - Part 1
In this video, you will learn how to find the demand forecast using linear regression. -
Forecasting in the past, present, and future: David Orrell at TEDxParkKultury
David Orrell, Oxford, UK. Mathematician and writer, author of numerous publications on scientific forecasting. About TEDx In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized. -
Forecasting with Seasonality
A brief Excel demonstration of solving a forecasting problem with seasonality. -
Forecasting Financial Statements - Part 1.mp4
This is the first video on "Forecasting", where we start to think about how we go from what we know about a company via its financial statements to what we think the company will do in the future (financially, that is). Please leave a comment or a question! -
Forecasting With Excel
Demonstration of using forecasting in Excel by James A. Weisel in February 2009 -
Forecasting Methods made simple - Exponential Smoothing
This is the second video on the series of Forecasting Methods made simple. Here we discuss the exponential smoothing method. We discuss the relevance to the smoothing factor and there is some insight into choosing the apt value for the smoothing factor. -
Statistics Lecture Time Series Analysis and Forecasting
-
Statistical Forecasting & Demand Planning Best Practices
Do you need a statistical forecast? Why do companies do it? When done properly, it drives increased sales, improves customer services, reduces inventory carrying costs, improves cash flow projections, and increases ROI while reducing employee costs and aiding production smoothing. Manufacturing companies need the right things in the right place at the right time. Collaborative processses and cross fucntional demand planning can leverage the data and insights generated with your forecasting. Still, statistical forecasting is not always the answer, and must be meaningful or risk being unreliable. So, it should not be the only method you utilize, but it will form the foundation of a solid collaborative demand planning process. Improve the accuracy and reliability of your statistical fo... -
SALES FORECASTING METHODS
-
Economic Forecasting: How to Predict the Future
http://www.patrickschwerdtfeger.com/sbi/ Patrick Schwerdtfeger discusses the impact of demographics on future economic growth for countries around the world including America, Latin America, Europe, Russia, China, Japan, India, Pakistan and the Middle East and North Africa. In particular, he looks at population growth, the age profile and net exports as a way to predict expected economic growth between 2010 and 2050. This type of analysis is extremely valuable for people interested in international business. Their interest might be motivated by business interests, international investment objectives or thought leadership around the world. Regardless how you use this information, it will allow you to literally predict the future for the economic performance of countries all around the ... -
Time Series Forecasting Theory - AR, MA, ARMA, ARIMA
In this video you will learn the theory of Time Series Forecasting. You will what is univariate time series analysis, AR, MA, ARMA & ARIMA modelling and how to use these models to do forecast For Study Packs : http://analyticuniversity.com/ -
Forecasting - Qualitative methods
In this video, you will learn about the qualitative methods of forecasting like Delphi method, Sales force forecasting, Executive opinion and Customer survey / market research. -
Forecasting in R: Smoothing Methods Part I
This video tutorial shows you how to forecast a time series using smoothing methods. This is the first of a two part series. This will show you how to do Exponentially Weighted Moving Average and Double Exponential Smoothing using R. You should know how the basics of R and how to read in a dataset before watching this video.
Mod-02 Lec-02 Forecasting -- Time series models -- Simple Exponential smoothing
- Order: Reorder
- Duration: 53:01
- Updated: 25 Jun 2012
- views: 71025
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm....
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
wn.com/Mod 02 Lec 02 Forecasting Time Series Models Simple Exponential Smoothing
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
- published: 25 Jun 2012
- views: 71025
Excel - Time Series Forecasting - Part 1 of 3
- Order: Reorder
- Duration: 18:06
- Updated: 18 Apr 2013
- views: 240829
Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature;=youtu.be
Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature;=youtu.be
This is Part 1 of a 3...
Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature;=youtu.be
Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature;=youtu.be
This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above.
wn.com/Excel Time Series Forecasting Part 1 Of 3
Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature;=youtu.be
Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature;=youtu.be
This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above.
- published: 18 Apr 2013
- views: 240829
Forecasting
- Order: Reorder
- Duration: 28:33
- Updated: 31 Mar 2015
- views: 3121
Table of Contents:
00:00 - Operations ManagementForecasting
00:03 - Objectives
00:09 - Outline
00:24 - What is Forecasting?
01:03 - Forecasting Provides a Comp...
Table of Contents:
00:00 - Operations ManagementForecasting
00:03 - Objectives
00:09 - Outline
00:24 - What is Forecasting?
01:03 - Forecasting Provides a Competitive Advantage for Disney
01:28 - Forecasting Provides a Competitive Advantage for Disney
02:21 - Question – Importance?
03:17 - Forecasting Time Horizons
04:23 - Strategic Importance of Forecasting
05:51 - The Realities!
06:26 - Forecasting Approaches
06:52 - Forecasting Approaches
07:04 - Overview of Qualitative Methods
07:39 - Overview of Qualitative Methods
08:25 - Jury of Executive Opinion
09:18 - Delphi Method
09:46 - Sales Force Composite
09:59 - Market Survey
10:52 - Forecasting Variation Components
11:05 - Trend Component
11:23 - Seasonal Component
12:10 - Cyclical Component
12:29 - Random Component
12:46 - Overview of Quantitative Approaches
13:16 - Naive Approach
13:39 - Moving Average Method
14:03 - Moving Average Example
15:17 - Weighted Moving Average
15:40 - Weighted Moving Average
16:59 - Weighted Moving Average
17:00 - Potential Problems With Moving Average
17:51 - Exponential Smoothing
18:21 - Exponential Smoothing
19:14 - Exponential Smoothing Example
19:20 - Exponential Smoothing Example
19:51 - Exponential Smoothing Example
19:58 - Effect of Smoothing Constants
20:14 - Impact of Different
20:45 - Effect of Smoothing Constants
20:46 - Exponential Smoothing Example
22:47 - Common Measures of Error
23:27 - Determining the MAD
24:17 - Monitoring and Controlling Forecasts
24:53 - Determining the MAD
25:31 - Monitoring and Controlling Forecasts
26:34 - Associative Forecasting
26:43 - Associative Forecasting
27:29 - Associative Forecasting Example
27:58 - Multiple-Regression Analysis
28:15 - Multiple-Regression Analysis
28:25 - Acknowledgements
wn.com/Forecasting
Table of Contents:
00:00 - Operations ManagementForecasting
00:03 - Objectives
00:09 - Outline
00:24 - What is Forecasting?
01:03 - Forecasting Provides a Competitive Advantage for Disney
01:28 - Forecasting Provides a Competitive Advantage for Disney
02:21 - Question – Importance?
03:17 - Forecasting Time Horizons
04:23 - Strategic Importance of Forecasting
05:51 - The Realities!
06:26 - Forecasting Approaches
06:52 - Forecasting Approaches
07:04 - Overview of Qualitative Methods
07:39 - Overview of Qualitative Methods
08:25 - Jury of Executive Opinion
09:18 - Delphi Method
09:46 - Sales Force Composite
09:59 - Market Survey
10:52 - Forecasting Variation Components
11:05 - Trend Component
11:23 - Seasonal Component
12:10 - Cyclical Component
12:29 - Random Component
12:46 - Overview of Quantitative Approaches
13:16 - Naive Approach
13:39 - Moving Average Method
14:03 - Moving Average Example
15:17 - Weighted Moving Average
15:40 - Weighted Moving Average
16:59 - Weighted Moving Average
17:00 - Potential Problems With Moving Average
17:51 - Exponential Smoothing
18:21 - Exponential Smoothing
19:14 - Exponential Smoothing Example
19:20 - Exponential Smoothing Example
19:51 - Exponential Smoothing Example
19:58 - Effect of Smoothing Constants
20:14 - Impact of Different
20:45 - Effect of Smoothing Constants
20:46 - Exponential Smoothing Example
22:47 - Common Measures of Error
23:27 - Determining the MAD
24:17 - Monitoring and Controlling Forecasts
24:53 - Determining the MAD
25:31 - Monitoring and Controlling Forecasts
26:34 - Associative Forecasting
26:43 - Associative Forecasting
27:29 - Associative Forecasting Example
27:58 - Multiple-Regression Analysis
28:15 - Multiple-Regression Analysis
28:25 - Acknowledgements
- published: 31 Mar 2015
- views: 3121
Operations Management 101: Time-Series Forecasting Introduction
- Order: Reorder
- Duration: 12:51
- Updated: 05 Jul 2012
- views: 20674
In this video I cover the basics of Time Series Forecasting by offering everyday examples of how TSF is used in science and economics. Also discussed are the fo...
In this video I cover the basics of Time Series Forecasting by offering everyday examples of how TSF is used in science and economics. Also discussed are the four time decomposition patterns; trend, seasonality, cycle, and regularity. Thanks for watching! For my complete video library organized by playlist, please go to my video page here:
http://www.youtube.com/user/BCFoltz/videos?flow=list&view;=1&live;_view=500&sort;=dd
wn.com/Operations Management 101 Time Series Forecasting Introduction
In this video I cover the basics of Time Series Forecasting by offering everyday examples of how TSF is used in science and economics. Also discussed are the four time decomposition patterns; trend, seasonality, cycle, and regularity. Thanks for watching! For my complete video library organized by playlist, please go to my video page here:
http://www.youtube.com/user/BCFoltz/videos?flow=list&view;=1&live;_view=500&sort;=dd
- published: 05 Jul 2012
- views: 20674
Lecture - 34 Forecasting
- Order: Reorder
- Duration: 58:48
- Updated: 26 Apr 2008
- views: 94336
Lecture series on Project and Production Management by Prof. Arun kanda, Department of Mechanical Engineering, IIT Delhi. For more details on NPTEL visit http:/...
Lecture series on Project and Production Management by Prof. Arun kanda, Department of Mechanical Engineering, IIT Delhi. For more details on NPTEL visit http://nptel.iitm.ac.in
wn.com/Lecture 34 Forecasting
Lecture series on Project and Production Management by Prof. Arun kanda, Department of Mechanical Engineering, IIT Delhi. For more details on NPTEL visit http://nptel.iitm.ac.in
- published: 26 Apr 2008
- views: 94336
Forecasting - Exponential Smoothing
- Order: Reorder
- Duration: 15:22
- Updated: 01 Feb 2013
- views: 50304
Video tutorial of forecasting using exponential smoothing
Video tutorial of forecasting using exponential smoothing
wn.com/Forecasting Exponential Smoothing
ORGL 330: Forecasting Methods (Ch 14-15)
- Order: Reorder
- Duration: 16:00
- Updated: 08 Apr 2013
- views: 7859
- published: 08 Apr 2013
- views: 7859
Alpha Modus + IBM Watson on Cognitive Forecasting
- Order: Reorder
- Duration: 0:31
- Updated: 07 Apr 2016
- views: 2178
Prashant Bhuyan, co-founder of the successful fin-tech start-up Alpha Modus, and IBM Watson discuss how Watson analytics has helped Alpha Modus improve their pr...
Prashant Bhuyan, co-founder of the successful fin-tech start-up Alpha Modus, and IBM Watson discuss how Watson analytics has helped Alpha Modus improve their predictive accuracy by over 500%. IBM Watson helps investors outthink uncertainty. Learn more at: http://ibm.co/23lUSWK
Subscribe to the IBM YouTube Channel: https://www.youtube.com/subscription_center?add_user=ibm
Learn More about IBM Watson:
https://www.youtube.com/user/IBMWatsonSolutions
https://www.facebook.com/ibmwatson/
https://www.twitter.com/ibmwatson
https://www.linkedin.com/company/ibm-watson
wn.com/Alpha Modus Ibm Watson On Cognitive Forecasting
Prashant Bhuyan, co-founder of the successful fin-tech start-up Alpha Modus, and IBM Watson discuss how Watson analytics has helped Alpha Modus improve their predictive accuracy by over 500%. IBM Watson helps investors outthink uncertainty. Learn more at: http://ibm.co/23lUSWK
Subscribe to the IBM YouTube Channel: https://www.youtube.com/subscription_center?add_user=ibm
Learn More about IBM Watson:
https://www.youtube.com/user/IBMWatsonSolutions
https://www.facebook.com/ibmwatson/
https://www.twitter.com/ibmwatson
https://www.linkedin.com/company/ibm-watson
- published: 07 Apr 2016
- views: 2178
Basic Excel Business Analytics #56: Forecasting with Linear Regression: Trend & Seasonal Pattern
- Order: Reorder
- Duration: 25:22
- Updated: 04 Dec 2015
- views: 2123
Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm
Learn:
1) (00:11) Forecasting using Regression when we se...
Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm
Learn:
1) (00:11) Forecasting using Regression when we see a trend and belief the trend will extend into the future. Will will predict outside the Experimental Region with the Assumption is that trend continues into future.
2) (00:53) Forecast a Trend using Simple Liner Regression. We use the Data Analysis Regression Feature.
3) (03:22) Learn how to use FORECAST function.
4) (08:57) Forecast a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter using Multiple Linear Regression. We use the Data Analysis Regression Feature.
5) (12:12) VLOOKUP & MATCH functions with Mixed Cell References to populate new categorical variable columns with the Boolean ones and zeroes.
6) (19:53) Forecast a Trend with a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter and one quantitative variable using Multiple Linear Regression. We use the Data Analysis Regression Feature.
7)
Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.
wn.com/Basic Excel Business Analytics 56 Forecasting With Linear Regression Trend Seasonal Pattern
Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm
Learn:
1) (00:11) Forecasting using Regression when we see a trend and belief the trend will extend into the future. Will will predict outside the Experimental Region with the Assumption is that trend continues into future.
2) (00:53) Forecast a Trend using Simple Liner Regression. We use the Data Analysis Regression Feature.
3) (03:22) Learn how to use FORECAST function.
4) (08:57) Forecast a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter using Multiple Linear Regression. We use the Data Analysis Regression Feature.
5) (12:12) VLOOKUP & MATCH functions with Mixed Cell References to populate new categorical variable columns with the Boolean ones and zeroes.
6) (19:53) Forecast a Trend with a Seasonal Pattern using Multiple Regression and three Categorical Variables for quarter and one quantitative variable using Multiple Linear Regression. We use the Data Analysis Regression Feature.
7)
Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.
- published: 04 Dec 2015
- views: 2123
Forecasting - Simple moving average - Example 1
- Order: Reorder
- Duration: 10:30
- Updated: 21 Feb 2014
- views: 32909
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
wn.com/Forecasting Simple Moving Average Example 1
In this video, you will learn how to find out the 3 month and 4 monthly moving average for demand forecasting.
- published: 21 Feb 2014
- views: 32909
Forecasting - Linear regression - Example 1 - Part 1
- Order: Reorder
- Duration: 24:05
- Updated: 24 Feb 2014
- views: 7830
In this video, you will learn how to find the demand forecast using linear regression.
In this video, you will learn how to find the demand forecast using linear regression.
wn.com/Forecasting Linear Regression Example 1 Part 1
In this video, you will learn how to find the demand forecast using linear regression.
- published: 24 Feb 2014
- views: 7830
Forecasting in the past, present, and future: David Orrell at TEDxParkKultury
- Order: Reorder
- Duration: 18:31
- Updated: 19 Apr 2012
- views: 3037
David Orrell, Oxford, UK.
Mathematician and writer, author of numerous publications on scientific forecasting.
About TEDx
In the spirit of ideas worth spread...
David Orrell, Oxford, UK.
Mathematician and writer, author of numerous publications on scientific forecasting.
About TEDx
In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.
wn.com/Forecasting In The Past, Present, And Future David Orrell At Tedxparkkultury
David Orrell, Oxford, UK.
Mathematician and writer, author of numerous publications on scientific forecasting.
About TEDx
In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.
- published: 19 Apr 2012
- views: 3037
Forecasting with Seasonality
- Order: Reorder
- Duration: 16:37
- Updated: 08 Feb 2013
- views: 56428
A brief Excel demonstration of solving a forecasting problem with seasonality.
A brief Excel demonstration of solving a forecasting problem with seasonality.
wn.com/Forecasting With Seasonality
A brief Excel demonstration of solving a forecasting problem with seasonality.
- published: 08 Feb 2013
- views: 56428
Forecasting Financial Statements - Part 1.mp4
- Order: Reorder
- Duration: 6:46
- Updated: 17 May 2012
- views: 25936
This is the first video on "Forecasting", where we start to think about how we go from what we know about a company via its financial statements to what we thin...
This is the first video on "Forecasting", where we start to think about how we go from what we know about a company via its financial statements to what we think the company will do in the future (financially, that is). Please leave a comment or a question!
wn.com/Forecasting Financial Statements Part 1.Mp4
This is the first video on "Forecasting", where we start to think about how we go from what we know about a company via its financial statements to what we think the company will do in the future (financially, that is). Please leave a comment or a question!
- published: 17 May 2012
- views: 25936
Forecasting With Excel
- Order: Reorder
- Duration: 7:09
- Updated: 15 Feb 2011
- views: 123128
Demonstration of using forecasting in Excel
by James A. Weisel in February 2009
- published: 15 Feb 2011
- views: 123128
Forecasting Methods made simple - Exponential Smoothing
- Order: Reorder
- Duration: 8:05
- Updated: 28 Jun 2013
- views: 29033
This is the second video on the series of Forecasting Methods made simple. Here we discuss the exponential smoothing method. We discuss the relevance to the smo...
This is the second video on the series of Forecasting Methods made simple. Here we discuss the exponential smoothing method. We discuss the relevance to the smoothing factor and there is some insight into choosing the apt value for the smoothing factor.
wn.com/Forecasting Methods Made Simple Exponential Smoothing
This is the second video on the series of Forecasting Methods made simple. Here we discuss the exponential smoothing method. We discuss the relevance to the smoothing factor and there is some insight into choosing the apt value for the smoothing factor.
- published: 28 Jun 2013
- views: 29033
Statistics Lecture Time Series Analysis and Forecasting
- Order: Reorder
- Duration: 21:08
- Updated: 02 May 2015
- views: 9274
- published: 02 May 2015
- views: 9274
Statistical Forecasting & Demand Planning Best Practices
- Order: Reorder
- Duration: 3:08
- Updated: 21 Feb 2014
- views: 5604
Do you need a statistical forecast? Why do companies do it? When done properly, it drives increased sales, improves customer services, reduces inventory carry...
Do you need a statistical forecast? Why do companies do it? When done properly, it drives increased sales, improves customer services, reduces inventory carrying costs, improves cash flow projections, and increases ROI while reducing employee costs and aiding production smoothing. Manufacturing companies need the right things in the right place at the right time. Collaborative processses and cross fucntional demand planning can leverage the data and insights generated with your forecasting. Still, statistical forecasting is not always the answer, and must be meaningful or risk being unreliable. So, it should not be the only method you utilize, but it will form the foundation of a solid collaborative demand planning process. Improve the accuracy and reliability of your statistical forecasting efforts with Steelwedge Insights. [Get started]. (link to contact).
wn.com/Statistical Forecasting Demand Planning Best Practices
Do you need a statistical forecast? Why do companies do it? When done properly, it drives increased sales, improves customer services, reduces inventory carrying costs, improves cash flow projections, and increases ROI while reducing employee costs and aiding production smoothing. Manufacturing companies need the right things in the right place at the right time. Collaborative processses and cross fucntional demand planning can leverage the data and insights generated with your forecasting. Still, statistical forecasting is not always the answer, and must be meaningful or risk being unreliable. So, it should not be the only method you utilize, but it will form the foundation of a solid collaborative demand planning process. Improve the accuracy and reliability of your statistical forecasting efforts with Steelwedge Insights. [Get started]. (link to contact).
- published: 21 Feb 2014
- views: 5604
SALES FORECASTING METHODS
- Order: Reorder
- Duration: 24:19
- Updated: 08 Nov 2013
- views: 12027
- published: 08 Nov 2013
- views: 12027
Economic Forecasting: How to Predict the Future
- Order: Reorder
- Duration: 29:43
- Updated: 17 Jan 2013
- views: 12674
http://www.patrickschwerdtfeger.com/sbi/
Patrick Schwerdtfeger discusses the impact of demographics on future economic growth for countries around the world in...
http://www.patrickschwerdtfeger.com/sbi/
Patrick Schwerdtfeger discusses the impact of demographics on future economic growth for countries around the world including America, Latin America, Europe, Russia, China, Japan, India, Pakistan and the Middle East and North Africa. In particular, he looks at population growth, the age profile and net exports as a way to predict expected economic growth between 2010 and 2050.
This type of analysis is extremely valuable for people interested in international business. Their interest might be motivated by business interests, international investment objectives or thought leadership around the world. Regardless how you use this information, it will allow you to literally predict the future for the economic performance of countries all around the world.
Patrick Schwerdtfeger is a leading authority on global business trends, and the author of the award-winning book, Marketing Shortcuts for the Self-Employed (2011, Wiley). He is a regular speaker for Bloomberg TV and has spoken about business trends, small business marketing and the social media revolution at conferences and business events around the world.
Patrick's past books include Webify Your Business: Internet Marketing Secrets for the Self-Employed (2009) and Make Yourself Useful: Marketing in the 21st Century (2008). He has been featured by the New York Times, LA Times, San Francisco Chronicle, CNN Money, Inc. Magazine, Fortune, Bloomberg Businessweek, the Associated Press, MONEY Magazine and Forbes, among others.
wn.com/Economic Forecasting How To Predict The Future
http://www.patrickschwerdtfeger.com/sbi/
Patrick Schwerdtfeger discusses the impact of demographics on future economic growth for countries around the world including America, Latin America, Europe, Russia, China, Japan, India, Pakistan and the Middle East and North Africa. In particular, he looks at population growth, the age profile and net exports as a way to predict expected economic growth between 2010 and 2050.
This type of analysis is extremely valuable for people interested in international business. Their interest might be motivated by business interests, international investment objectives or thought leadership around the world. Regardless how you use this information, it will allow you to literally predict the future for the economic performance of countries all around the world.
Patrick Schwerdtfeger is a leading authority on global business trends, and the author of the award-winning book, Marketing Shortcuts for the Self-Employed (2011, Wiley). He is a regular speaker for Bloomberg TV and has spoken about business trends, small business marketing and the social media revolution at conferences and business events around the world.
Patrick's past books include Webify Your Business: Internet Marketing Secrets for the Self-Employed (2009) and Make Yourself Useful: Marketing in the 21st Century (2008). He has been featured by the New York Times, LA Times, San Francisco Chronicle, CNN Money, Inc. Magazine, Fortune, Bloomberg Businessweek, the Associated Press, MONEY Magazine and Forbes, among others.
- published: 17 Jan 2013
- views: 12674
Time Series Forecasting Theory - AR, MA, ARMA, ARIMA
- Order: Reorder
- Duration: 53:14
- Updated: 06 Feb 2016
- views: 375
In this video you will learn the theory of Time Series Forecasting. You will what is univariate time series analysis, AR, MA, ARMA & ARIMA modelling and how to ...
In this video you will learn the theory of Time Series Forecasting. You will what is univariate time series analysis, AR, MA, ARMA & ARIMA modelling and how to use these models to do forecast
For Study Packs : http://analyticuniversity.com/
wn.com/Time Series Forecasting Theory Ar, Ma, Arma, Arima
In this video you will learn the theory of Time Series Forecasting. You will what is univariate time series analysis, AR, MA, ARMA & ARIMA modelling and how to use these models to do forecast
For Study Packs : http://analyticuniversity.com/
- published: 06 Feb 2016
- views: 375
Forecasting - Qualitative methods
- Order: Reorder
- Duration: 12:25
- Updated: 28 Apr 2014
- views: 4925
In this video, you will learn about the qualitative methods of forecasting like Delphi method, Sales force forecasting, Executive opinion and Customer survey /...
In this video, you will learn about the qualitative methods of forecasting like Delphi method, Sales force forecasting, Executive opinion and Customer survey / market research.
wn.com/Forecasting Qualitative Methods
In this video, you will learn about the qualitative methods of forecasting like Delphi method, Sales force forecasting, Executive opinion and Customer survey / market research.
- published: 28 Apr 2014
- views: 4925
Forecasting in R: Smoothing Methods Part I
- Order: Reorder
- Duration: 12:15
- Updated: 03 Dec 2013
- views: 10317
This video tutorial shows you how to forecast a time series using smoothing methods. This is the first of a two part series. This will show you how to do Expo...
This video tutorial shows you how to forecast a time series using smoothing methods. This is the first of a two part series. This will show you how to do Exponentially Weighted Moving Average and Double Exponential Smoothing using R. You should know how the basics of R and how to read in a dataset before watching this video.
wn.com/Forecasting In R Smoothing Methods Part I
This video tutorial shows you how to forecast a time series using smoothing methods. This is the first of a two part series. This will show you how to do Exponentially Weighted Moving Average and Double Exponential Smoothing using R. You should know how the basics of R and how to read in a dataset before watching this video.
- published: 03 Dec 2013
- views: 10317
-
Tim Berry on How To Do a Better Job Forecasting Sales
-
Kraft rule of Tropical cyclone rainfall forecasting Top 5 Facts.mp4
-
Numerical weather prediction of Tropical cyclone rainfall forecasting Top 6 Facts.mp4
-
-
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Flying Star Feng Shui 2016 Forecast - Year of the Monkey
2016 is Year of the Fire Monkey and many experts are forecasting this to be a challenging, stressful year for many. I have a 4-hour recorded version of my live webinar where I will go over with you: - where are the main prosperous directions in 2016 and how to activate it - where are the negative energies and what you need to place to remedy it - how to do water placement based on the facing and the period of your home - how to do basic date selection based on my 2016 Feng Shui and Astrology Calendar so you do all your important activities on the best days possible There were some really great questions asked during the live webinar so you'll be learning some very interesting tidbits as well! Click HERE to purchase your 4-hour 2016 Year of the Monkey presentation! -
-
Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
To forecast out, we need some data. We decided that we're forecasting out 10% of the data, thus we will want to, or at least *can* generate forecasts for each of the final 10% of the dataset. So when can we do this? When would we identify that data? We could call it now, but consider the data we're trying to forecast is not scaled like the training data was. Okay, so then what? Do we just do preprocessing.scale() against the last 10%? The scale method scales based on all of the known data that is fed into it. Ideally, you would scale both the training, testing, AND forecast/predicting data all together. Is this always possible or reasonable? No. If you can do it, you should, however. In our case, right now, we can do it. Our data is small enough and the processing time is low enough, so we... -
Tornado Forecasting - Sat at 10p
-
IBM Watson Commercial 2016, Alpha Modus + IBM Watson on Cognitive Forecasting
IBM Watson Commercial 2016, Alpha Modus + IBM Watson on Cognitive Forecasting -
How Finance Teams Chart a Course to Improve Planning and Forecasting with Advanced Analytics
This webinar—sponsored by IBM and Financial Executives International—examines key focus areas for finance highlighted in the 2016 Hackett Key Issues Study. Sherri Liao of the Hackett Group and Tony Levy of IBM Performance Management discuss trending areas in advanced performance management technologies such as predictive modeling, multidimensional analytics and self-service analytics. Learn more about the benefits of IBM Financial Performance Management at https://www.ibm.co/fpm. Subscribe to the IBM Analytics Channel: https://www.youtube.com/subscription_center?add_user=ibmbigdata The world is becoming smarter every day, join the conversation on the IBM Big Data & Analytics Hub: http://www.ibmbigdatahub.com https://www.youtube.com/user/ibmbigdata https://www.facebook.com/IBManaly... -
Charlie Bagley | Channel 3, WFSB, Hartford | Weather Forecast
Charlie Bagley (1929 - 2011), also known as "Fair Weather Charlie," delivers a weather forecast on Channel 3, WFSB, in Hartford, Connecticut. Bagley started at Channel 3 in 1972 when it was owned by Broadcast Plaza Inc., a division of the Travelers Insurance Company, and still operated with its original WTIC-TV call letters. He is the director of the Travelers Weather Service and also reports the weather on WTIC Radio. He will end his career at Channel 30, WVIT in New Britain, Conn., and will retire in 1994. -
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AcuRite Color Weather Station with Forecast
Patented Self-Calibrating Forecasting pulls data from a sensor in your backyard.http://goo.gl/GU3w4a -
Forecasting Models with R
EXFINSIS Website: http://www.exfinsis.com/ Disclaimer: Course has an educational purpose and doesn’t constitute any type of investment or trading recommendation. All conclusions reflect solely its author’s opinions based on historical data and calculations. Past performance doesn’t guarantee future returns. Investment risk can possibly lead to its total loss for unleveraged products and even larger for leveraged ones. Therefore, its author isn’t responsible for any damages caused by using data, information, opinions or conclusions for investment or trading decisions; exclusively transferring all this responsibility to the viewer. -
Fashion Forecasting (2nd Edition) 2nd Edition by Evelyn L. Brannon
Just visit : http://bit.ly/1N7QGpq 80n54y-2016 -
FIRST UP | DA FORECASTING 3.5% FARM OUTPUT | SHYLA FRANCISCO
We bring you up-to-the-minute news and information to push your business forward. #BloombergTVPh #InspiringBusiness Like us on http://facebook.com/BloombergTVPh -
Forecasting Sustainable Tourism: Geoffrey Lipman, UNWTO
Geoffrey Lipman, Assistant Secretary-General, UNWTO forecasts the future in regards to Sustainable Tourism. -
Forecasting Sustainable Tourism: Frank McCosker, Microsoft
Frank McCosker, Managing Director, Microsoft discusses challenges for sustainable tourism and forecasting for the future. Specifically he talks about disruptive technology and trends. -
Forecasting Sustainable Tourism: Carlos Vogeler, UNWTO
Carlos Vogeler, Chairman of Affiliates for UNWTO, discusses challenges for sustainable tourism. Specifically there is a need to embrace change whether in technology or with climate. A need for renewed visions and innovation. -
Forecasting Sustainable Tourism: Dale Honeck, WTO/OMC
Dale Honeck, WTO/OMC, Trade in Services, discusses the challenges for sustainable tourism, specifically in regards to how the World Trade Organization can help and is involved. -
Forecasting Sustainable Tourism: Q&A1;
Audience members ask questions of the panel regarding forecasting the future of sustainable tourism. -
Forecasting Sustainable Tourism: Q&A2;
Audience members ask questions of the panel regarding forecasting the future of sustainable tourism.
Tim Berry on How To Do a Better Job Forecasting Sales
- Order: Reorder
- Duration: 1:28
- Updated: 14 Apr 2016
- views: 0
- published: 14 Apr 2016
- views: 0
Kraft rule of Tropical cyclone rainfall forecasting Top 5 Facts.mp4
- Order: Reorder
- Duration: 0:50
- Updated: 14 Apr 2016
- views: 0
- published: 14 Apr 2016
- views: 0
Numerical weather prediction of Tropical cyclone rainfall forecasting Top 6 Facts.mp4
- Order: Reorder
- Duration: 1:00
- Updated: 14 Apr 2016
- views: 0
- published: 14 Apr 2016
- views: 0
Forecasting for the Pharmaceutical Industry by Arthur G. Cook
- Order: Reorder
- Duration: 0:25
- Updated: 14 Apr 2016
- views: 0
Business Forecasting with Forecastx by J. Holton Wilson
- Order: Reorder
- Duration: 0:28
- Updated: 14 Apr 2016
- views: 0
Flying Star Feng Shui 2016 Forecast - Year of the Monkey
- Order: Reorder
- Duration: 4:23
- Updated: 14 Apr 2016
- views: 57
2016 is Year of the Fire Monkey and many experts are forecasting this to be a challenging, stressful year for many.
I have a 4-hour recorded version of my liv...
2016 is Year of the Fire Monkey and many experts are forecasting this to be a challenging, stressful year for many.
I have a 4-hour recorded version of my live webinar where I will go over with you:
- where are the main prosperous directions in 2016 and how to activate it
- where are the negative energies and what you need to place to remedy it
- how to do water placement based on the facing and the period of your home
- how to do basic date selection based on my 2016 Feng Shui and Astrology Calendar so you do all your important activities on the best days possible
There were some really great questions asked during the live webinar so you'll be learning some very interesting tidbits as well!
Click HERE to purchase your 4-hour 2016 Year of the Monkey presentation!
wn.com/Flying Star Feng Shui 2016 Forecast Year Of The Monkey
2016 is Year of the Fire Monkey and many experts are forecasting this to be a challenging, stressful year for many.
I have a 4-hour recorded version of my live webinar where I will go over with you:
- where are the main prosperous directions in 2016 and how to activate it
- where are the negative energies and what you need to place to remedy it
- how to do water placement based on the facing and the period of your home
- how to do basic date selection based on my 2016 Feng Shui and Astrology Calendar so you do all your important activities on the best days possible
There were some really great questions asked during the live webinar so you'll be learning some very interesting tidbits as well!
Click HERE to purchase your 4-hour 2016 Year of the Monkey presentation!
- published: 14 Apr 2016
- views: 57
How not to do the weather(jumalus sucks at forecasting)
- Order: Reorder
- Duration: 2:58
- Updated: 14 Apr 2016
- views: 3
Hey, you found the description!
Check out adams chanell and another take on this at
https://m.youtube.com/channel/UCHUfDzpKZoVAlXdcixM1WAQ
Hey, you found the description!
Check out adams chanell and another take on this at
https://m.youtube.com/channel/UCHUfDzpKZoVAlXdcixM1WAQ
wn.com/How Not To Do The Weather(Jumalus Sucks At Forecasting)
Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
- Order: Reorder
- Duration: 14:28
- Updated: 14 Apr 2016
- views: 277
To forecast out, we need some data. We decided that we're forecasting out 10% of the data, thus we will want to, or at least *can* generate forecasts for each o...
To forecast out, we need some data. We decided that we're forecasting out 10% of the data, thus we will want to, or at least *can* generate forecasts for each of the final 10% of the dataset. So when can we do this? When would we identify that data? We could call it now, but consider the data we're trying to forecast is not scaled like the training data was. Okay, so then what? Do we just do preprocessing.scale() against the last 10%? The scale method scales based on all of the known data that is fed into it. Ideally, you would scale both the training, testing, AND forecast/predicting data all together. Is this always possible or reasonable? No. If you can do it, you should, however. In our case, right now, we can do it. Our data is small enough and the processing time is low enough, so we'll preprocess and scale the data all at once.
In many cases, you wont be able to do this. Imagine if you were using gigabytes of data to train a classifier. It may take days to train your classifier, you wouldn't want to be doing this every...single...time you wanted to make a prediction. Thus, you may need to either NOT scale anything, or you may scale the data separately. As usual, you will want to test both options and see which is best in your specific case.
With that in mind, let's handle all of the rows from the definition of X onward.
https://pythonprogramming.net/forecasting-predicting-machine-learning-tutorial/
https://twitter.com/sentdex
https://www.facebook.com/pythonprogramming.net/
https://plus.google.com/+sentdex
wn.com/Regression Forecasting And Predicting Practical Machine Learning Tutorial With Python P.5
To forecast out, we need some data. We decided that we're forecasting out 10% of the data, thus we will want to, or at least *can* generate forecasts for each of the final 10% of the dataset. So when can we do this? When would we identify that data? We could call it now, but consider the data we're trying to forecast is not scaled like the training data was. Okay, so then what? Do we just do preprocessing.scale() against the last 10%? The scale method scales based on all of the known data that is fed into it. Ideally, you would scale both the training, testing, AND forecast/predicting data all together. Is this always possible or reasonable? No. If you can do it, you should, however. In our case, right now, we can do it. Our data is small enough and the processing time is low enough, so we'll preprocess and scale the data all at once.
In many cases, you wont be able to do this. Imagine if you were using gigabytes of data to train a classifier. It may take days to train your classifier, you wouldn't want to be doing this every...single...time you wanted to make a prediction. Thus, you may need to either NOT scale anything, or you may scale the data separately. As usual, you will want to test both options and see which is best in your specific case.
With that in mind, let's handle all of the rows from the definition of X onward.
https://pythonprogramming.net/forecasting-predicting-machine-learning-tutorial/
https://twitter.com/sentdex
https://www.facebook.com/pythonprogramming.net/
https://plus.google.com/+sentdex
- published: 14 Apr 2016
- views: 277
Tornado Forecasting - Sat at 10p
- Order: Reorder
- Duration: 0:16
- Updated: 13 Apr 2016
- views: 0
- published: 13 Apr 2016
- views: 0
IBM Watson Commercial 2016, Alpha Modus + IBM Watson on Cognitive Forecasting
- Order: Reorder
- Duration: 0:31
- Updated: 13 Apr 2016
- views: 6
IBM Watson Commercial 2016, Alpha Modus + IBM Watson on Cognitive Forecasting
- published: 13 Apr 2016
- views: 6
How Finance Teams Chart a Course to Improve Planning and Forecasting with Advanced Analytics
- Order: Reorder
- Duration: 59:47
- Updated: 13 Apr 2016
- views: 3
This webinar—sponsored by IBM and Financial Executives International—examines key focus areas for finance highlighted in the 2016 Hackett Key Issues Study. Sher...
This webinar—sponsored by IBM and Financial Executives International—examines key focus areas for finance highlighted in the 2016 Hackett Key Issues Study. Sherri Liao of the Hackett Group and Tony Levy of IBM Performance Management discuss trending areas in advanced performance management technologies such as predictive modeling, multidimensional analytics and self-service analytics. Learn more about the benefits of IBM Financial Performance Management at https://www.ibm.co/fpm.
Subscribe to the IBM Analytics Channel: https://www.youtube.com/subscription_center?add_user=ibmbigdata
The world is becoming smarter every day, join the conversation on the IBM Big Data & Analytics Hub:
http://www.ibmbigdatahub.com
https://www.youtube.com/user/ibmbigdata
https://www.facebook.com/IBManalytics
https://www.twitter.com/IBMAnalytics
https://www.linkedin.com/company/ibm-big-data-&-analytics
https://www.slideshare.net/IBMBDA
wn.com/How Finance Teams Chart A Course To Improve Planning And Forecasting With Advanced Analytics
This webinar—sponsored by IBM and Financial Executives International—examines key focus areas for finance highlighted in the 2016 Hackett Key Issues Study. Sherri Liao of the Hackett Group and Tony Levy of IBM Performance Management discuss trending areas in advanced performance management technologies such as predictive modeling, multidimensional analytics and self-service analytics. Learn more about the benefits of IBM Financial Performance Management at https://www.ibm.co/fpm.
Subscribe to the IBM Analytics Channel: https://www.youtube.com/subscription_center?add_user=ibmbigdata
The world is becoming smarter every day, join the conversation on the IBM Big Data & Analytics Hub:
http://www.ibmbigdatahub.com
https://www.youtube.com/user/ibmbigdata
https://www.facebook.com/IBManalytics
https://www.twitter.com/IBMAnalytics
https://www.linkedin.com/company/ibm-big-data-&-analytics
https://www.slideshare.net/IBMBDA
- published: 13 Apr 2016
- views: 3
Charlie Bagley | Channel 3, WFSB, Hartford | Weather Forecast
- Order: Reorder
- Duration: 1:00
- Updated: 13 Apr 2016
- views: 0
Charlie Bagley (1929 - 2011), also known as "Fair Weather Charlie," delivers a weather forecast on Channel 3, WFSB, in Hartford, Connecticut. Bagley started at...
Charlie Bagley (1929 - 2011), also known as "Fair Weather Charlie," delivers a weather forecast on Channel 3, WFSB, in Hartford, Connecticut. Bagley started at Channel 3 in 1972 when it was owned by Broadcast Plaza Inc., a division of the Travelers Insurance Company, and still operated with its original WTIC-TV call letters. He is the director of the Travelers Weather Service and also reports the weather on WTIC Radio. He will end his career at Channel 30, WVIT in New Britain, Conn., and will retire in 1994.
wn.com/Charlie Bagley | Channel 3, Wfsb, Hartford | Weather Forecast
Charlie Bagley (1929 - 2011), also known as "Fair Weather Charlie," delivers a weather forecast on Channel 3, WFSB, in Hartford, Connecticut. Bagley started at Channel 3 in 1972 when it was owned by Broadcast Plaza Inc., a division of the Travelers Insurance Company, and still operated with its original WTIC-TV call letters. He is the director of the Travelers Weather Service and also reports the weather on WTIC Radio. He will end his career at Channel 30, WVIT in New Britain, Conn., and will retire in 1994.
- published: 13 Apr 2016
- views: 0
Charcha Mein: Forecasting of Drought and Monsoon
- Order: Reorder
- Duration: 27:00
- Updated: 13 Apr 2016
- views: 7
AcuRite Color Weather Station with Forecast
- Order: Reorder
- Duration: 0:47
- Updated: 13 Apr 2016
- views: 1
Patented Self-Calibrating Forecasting pulls data from a sensor in your backyard.http://goo.gl/GU3w4a
Patented Self-Calibrating Forecasting pulls data from a sensor in your backyard.http://goo.gl/GU3w4a
wn.com/Acurite Color Weather Station With Forecast
Patented Self-Calibrating Forecasting pulls data from a sensor in your backyard.http://goo.gl/GU3w4a
- published: 13 Apr 2016
- views: 1
Forecasting Models with R
- Order: Reorder
- Duration: 1:13
- Updated: 13 Apr 2016
- views: 2
EXFINSIS Website: http://www.exfinsis.com/
Disclaimer: Course has an educational purpose and doesn’t constitute any type of investment or trading recommendati...
EXFINSIS Website: http://www.exfinsis.com/
Disclaimer: Course has an educational purpose and doesn’t constitute any type of investment or trading recommendation. All conclusions reflect solely its author’s opinions based on historical data and calculations. Past performance doesn’t guarantee future returns. Investment risk can possibly lead to its total loss for unleveraged products and even larger for leveraged ones. Therefore, its author isn’t responsible for any damages caused by using data, information, opinions or conclusions for investment or trading decisions; exclusively transferring all this responsibility to the viewer.
wn.com/Forecasting Models With R
EXFINSIS Website: http://www.exfinsis.com/
Disclaimer: Course has an educational purpose and doesn’t constitute any type of investment or trading recommendation. All conclusions reflect solely its author’s opinions based on historical data and calculations. Past performance doesn’t guarantee future returns. Investment risk can possibly lead to its total loss for unleveraged products and even larger for leveraged ones. Therefore, its author isn’t responsible for any damages caused by using data, information, opinions or conclusions for investment or trading decisions; exclusively transferring all this responsibility to the viewer.
- published: 13 Apr 2016
- views: 2
Fashion Forecasting (2nd Edition) 2nd Edition by Evelyn L. Brannon
- Order: Reorder
- Duration: 1:36
- Updated: 13 Apr 2016
- views: 0
Just visit : http://bit.ly/1N7QGpq
80n54y-2016
Just visit : http://bit.ly/1N7QGpq
80n54y-2016
wn.com/Fashion Forecasting (2Nd Edition) 2Nd Edition By Evelyn L. Brannon
FIRST UP | DA FORECASTING 3.5% FARM OUTPUT | SHYLA FRANCISCO
- Order: Reorder
- Duration: 2:37
- Updated: 13 Apr 2016
- views: 6
We bring you up-to-the-minute news and information to push your business forward. #BloombergTVPh #InspiringBusiness
Like us on http://facebook.com/BloombergTVP...
We bring you up-to-the-minute news and information to push your business forward. #BloombergTVPh #InspiringBusiness
Like us on http://facebook.com/BloombergTVPh
wn.com/First Up | Da Forecasting 3.5 Farm Output | Shyla Francisco
We bring you up-to-the-minute news and information to push your business forward. #BloombergTVPh #InspiringBusiness
Like us on http://facebook.com/BloombergTVPh
- published: 13 Apr 2016
- views: 6
Forecasting Sustainable Tourism: Geoffrey Lipman, UNWTO
- Order: Reorder
- Duration: 3:42
- Updated: 13 Apr 2016
- views: 0
Geoffrey Lipman, Assistant Secretary-General, UNWTO forecasts the future in regards to Sustainable Tourism.
Geoffrey Lipman, Assistant Secretary-General, UNWTO forecasts the future in regards to Sustainable Tourism.
wn.com/Forecasting Sustainable Tourism Geoffrey Lipman, Unwto
Geoffrey Lipman, Assistant Secretary-General, UNWTO forecasts the future in regards to Sustainable Tourism.
- published: 13 Apr 2016
- views: 0
Forecasting Sustainable Tourism: Frank McCosker, Microsoft
- Order: Reorder
- Duration: 6:16
- Updated: 13 Apr 2016
- views: 0
Frank McCosker, Managing Director, Microsoft discusses challenges for sustainable tourism and forecasting for the future. Specifically he talks about disrupti...
Frank McCosker, Managing Director, Microsoft discusses challenges for sustainable tourism and forecasting for the future. Specifically he talks about disruptive technology and trends.
wn.com/Forecasting Sustainable Tourism Frank Mccosker, Microsoft
Frank McCosker, Managing Director, Microsoft discusses challenges for sustainable tourism and forecasting for the future. Specifically he talks about disruptive technology and trends.
- published: 13 Apr 2016
- views: 0
Forecasting Sustainable Tourism: Carlos Vogeler, UNWTO
- Order: Reorder
- Duration: 5:34
- Updated: 13 Apr 2016
- views: 0
Carlos Vogeler, Chairman of Affiliates for UNWTO, discusses challenges for sustainable tourism. Specifically there is a need to embrace change whether in techn...
Carlos Vogeler, Chairman of Affiliates for UNWTO, discusses challenges for sustainable tourism. Specifically there is a need to embrace change whether in technology or with climate. A need for renewed visions and innovation.
wn.com/Forecasting Sustainable Tourism Carlos Vogeler, Unwto
Carlos Vogeler, Chairman of Affiliates for UNWTO, discusses challenges for sustainable tourism. Specifically there is a need to embrace change whether in technology or with climate. A need for renewed visions and innovation.
- published: 13 Apr 2016
- views: 0
Forecasting Sustainable Tourism: Dale Honeck, WTO/OMC
- Order: Reorder
- Duration: 6:10
- Updated: 13 Apr 2016
- views: 0
Dale Honeck, WTO/OMC, Trade in Services, discusses the challenges for sustainable tourism, specifically in regards to how the World Trade Organization can help ...
Dale Honeck, WTO/OMC, Trade in Services, discusses the challenges for sustainable tourism, specifically in regards to how the World Trade Organization can help and is involved.
wn.com/Forecasting Sustainable Tourism Dale Honeck, Wto Omc
Dale Honeck, WTO/OMC, Trade in Services, discusses the challenges for sustainable tourism, specifically in regards to how the World Trade Organization can help and is involved.
- published: 13 Apr 2016
- views: 0
Forecasting Sustainable Tourism: Q&A1;
- Order: Reorder
- Duration: 2:47
- Updated: 13 Apr 2016
- views: 0
Audience members ask questions of the panel regarding forecasting the future of sustainable tourism.
Audience members ask questions of the panel regarding forecasting the future of sustainable tourism.
wn.com/Forecasting Sustainable Tourism Q A1
Audience members ask questions of the panel regarding forecasting the future of sustainable tourism.
- published: 13 Apr 2016
- views: 0
Forecasting Sustainable Tourism: Q&A2;
- Order: Reorder
- Duration: 2:46
- Updated: 13 Apr 2016
- views: 0
Audience members ask questions of the panel regarding forecasting the future of sustainable tourism.
Audience members ask questions of the panel regarding forecasting the future of sustainable tourism.
wn.com/Forecasting Sustainable Tourism Q A2
Audience members ask questions of the panel regarding forecasting the future of sustainable tourism.
- published: 13 Apr 2016
- views: 0
-
Budgeting, Planning, & Forecasting Demo
This video is a demo of Anaplan's Budgeting, Planning & Forecasting App. This app enables your organization to rapidly deploy financial models built with instant what-ifs, planning drivers, and links to a continuous stream of operational data and processes. FP&A; teams can plan and allocate budgets and resources across departments, geographies and strategic priorities with easy drill downs for fine-grained insights on profitability drivers. -
DEMAND FORECASTING AND TECHNIQUES
-
Zoho CRM - Sales Tracking & Forecasting
At the Sales & Marketing Zoholics event, Ricky Thakrar explains and demonstrates the modules within Zoho CRM that can help you Track your Sales and run the reports. Sign up for free: https://www.zoho.com/crm Resource Center: https://www.zoho.com/crm/help/ Connect with us on Twitter: https://twitter.com/zoho -
Forecasting with the Microsoft Time Series Data Mining Algorithm
Imagine taking historical stock market data and using data science to more accurately predict future stock values. This is precisely the aim of the Microsoft Time Series data mining algorithm. Of course, your objective doesn't need to be personal profit to attend this session! Microsoft SQL Server Analysis Services includes the Microsoft Time Series algorithm to provide an approach to intuitive and accurate time series forecasting. The algorithm can be used in scenarios where you have an historic series of data, and where you need to predict a future series of values that is based on more than just your gut instinct. This session describes how to prepare data, create and query time series data mining models, and interpret query results. Various demonstration data mining models are created ... -
Webinar - Forecasting and Territory Management within Salesforce | Simplus
Exceed your goals by forecasting and planning the right way. Salesforce provides an out-of-the-box forecasting module that can help you answer questions like: 1. How much revenue can I count on closing this month/quarter/year? 2. Which reps are doing the best/worst? 3. How can I fill the gap? In this webinar, Salesforce expert, Carolyn Adams, shares valuable insights on how to get the most out of Salesforce's forecasting tools, and how to use that information to make smarter business decisions. About Carolyn: Carolyn Adams serves Simplus as the Vice President of the Salesforce division. As a Salesforce industry expert, Carolyn has helped implement or optimize Salesforce in over 125 companies for the better part of the last decade. Carolyn currently has her Salesforce Administrator, Adva... -
Mod-02 Lec-03 Forecasting -- Linear Models, Regression, Holt's , seasonality
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in -
Steve Jurvetson: Forecasting the Future of Technology [Entire Talk]
A special panel of highly scientific minds discusses what the future holds for tech innovation, education and entrepreneurship. Panelists include Google's "captain of moonshots," Astro Teller, Stanford bioengineer Christina Smolke, an associate professor at the university's medical school, and DFJ General Partner Steve Jurvetson. Persis Drell, dean of the Stanford School of Engineering, moderates the discussion, with introductions by Stanford Professor Kathleen Eisenhardt. View more clips and share your comments at http://ecorner.stanford.edu/authorMaterialInfo.html?mid=3568 -
CMA Part 1 - Forecasting Techniques by Mr Hasham Abbasi
-
-
Tornado Forecasting Workshop with Rich Thompson - Class 2
Come watch live as the Storm Prediction Center's Lead Forecaster Rich Thompson gives the second of many informal workshops detailing the meteorology behind tornado forecasting. Class 2 - Severe storm ingredients: moisture and lapse rate sources -
Electricity Load and Price Forecasting with MATLAB
The webinar video shows all the process of the MATLAB data forecasting: 1) Import data from your database; 2) Analyze queries; 3) Build prediction model; 4) Export your MATLAB script into EXCELL Add-in / Java Package / C\C++ Lib, etc.; COPYRIGHT: ________________________________________ Copyright (c) 2010, The MathWorks, Inc. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the doc... -
Mod-02 Lec-04 Forecasting -- Winter's model, causal models, Goodness of forecast, Aggregate Planning
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in -
Forecast Accurately with Salesforce Forecasting
Join us to learn how Salesforce Collaborative Forecasting can give sales leaders visibility into future sales booking or sales revenue. Hear from two customers, Pure Storage and Nitro, on how they leverage forecasting and the benefits they''ve realized so far. You''ll also learn how matrix sales organizations can track splits by revenue or overlay and the additional capability of forecasting by custom field. -
(NEW!) Electricity Load and Price Forecasting with MATLAB (NOT edited)
This is NOT-edited version of the webinar uploaded by numerous requests due to interface issue(youtu.be/_V3zJkgG3zk) ________________________________________________ The webinar video shows all the process of the MATLAB data forecasting: 1) Import data from your database; 2) Analyze queries; 3) Build prediction model; 4) Export your MATLAB script into EXCELL Add-in / Java Package / C\C++ Lib, etc.; COPYRIGHT: ________________________________________ Copyright (c) 2010, The MathWorks, Inc. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following dis...
Budgeting, Planning, & Forecasting Demo
- Order: Reorder
- Duration: 41:12
- Updated: 19 Jan 2015
- views: 11508
This video is a demo of Anaplan's Budgeting, Planning & Forecasting App. This app enables your organization to rapidly deploy financial models built with instan...
This video is a demo of Anaplan's Budgeting, Planning & Forecasting App. This app enables your organization to rapidly deploy financial models built with instant what-ifs, planning drivers, and links to a continuous stream of operational data and processes. FP&A; teams can plan and allocate budgets and resources across departments, geographies and strategic priorities with easy drill downs for fine-grained insights on profitability drivers.
wn.com/Budgeting, Planning, Forecasting Demo
This video is a demo of Anaplan's Budgeting, Planning & Forecasting App. This app enables your organization to rapidly deploy financial models built with instant what-ifs, planning drivers, and links to a continuous stream of operational data and processes. FP&A; teams can plan and allocate budgets and resources across departments, geographies and strategic priorities with easy drill downs for fine-grained insights on profitability drivers.
- published: 19 Jan 2015
- views: 11508
DEMAND FORECASTING AND TECHNIQUES
- Order: Reorder
- Duration: 24:29
- Updated: 17 Oct 2014
- views: 3822
- published: 17 Oct 2014
- views: 3822
Zoho CRM - Sales Tracking & Forecasting
- Order: Reorder
- Duration: 30:23
- Updated: 09 Sep 2014
- views: 13124
At the Sales & Marketing Zoholics event, Ricky Thakrar explains and demonstrates the modules within Zoho CRM that can help you Track your Sales and run the repo...
At the Sales & Marketing Zoholics event, Ricky Thakrar explains and demonstrates the modules within Zoho CRM that can help you Track your Sales and run the reports.
Sign up for free: https://www.zoho.com/crm
Resource Center: https://www.zoho.com/crm/help/
Connect with us on Twitter: https://twitter.com/zoho
wn.com/Zoho Crm Sales Tracking Forecasting
At the Sales & Marketing Zoholics event, Ricky Thakrar explains and demonstrates the modules within Zoho CRM that can help you Track your Sales and run the reports.
Sign up for free: https://www.zoho.com/crm
Resource Center: https://www.zoho.com/crm/help/
Connect with us on Twitter: https://twitter.com/zoho
- published: 09 Sep 2014
- views: 13124
Forecasting with the Microsoft Time Series Data Mining Algorithm
- Order: Reorder
- Duration: 74:51
- Updated: 20 May 2014
- views: 20371
Imagine taking historical stock market data and using data science to more accurately predict future stock values. This is precisely the aim of the Microsoft Ti...
Imagine taking historical stock market data and using data science to more accurately predict future stock values. This is precisely the aim of the Microsoft Time Series data mining algorithm. Of course, your objective doesn't need to be personal profit to attend this session! Microsoft SQL Server Analysis Services includes the Microsoft Time Series algorithm to provide an approach to intuitive and accurate time series forecasting. The algorithm can be used in scenarios where you have an historic series of data, and where you need to predict a future series of values that is based on more than just your gut instinct. This session describes how to prepare data, create and query time series data mining models, and interpret query results. Various demonstration data mining models are created by using Visual Studio, and in self-service scenarios, by using the data mining add-ins available in Microsoft Excel.
wn.com/Forecasting With The Microsoft Time Series Data Mining Algorithm
Imagine taking historical stock market data and using data science to more accurately predict future stock values. This is precisely the aim of the Microsoft Time Series data mining algorithm. Of course, your objective doesn't need to be personal profit to attend this session! Microsoft SQL Server Analysis Services includes the Microsoft Time Series algorithm to provide an approach to intuitive and accurate time series forecasting. The algorithm can be used in scenarios where you have an historic series of data, and where you need to predict a future series of values that is based on more than just your gut instinct. This session describes how to prepare data, create and query time series data mining models, and interpret query results. Various demonstration data mining models are created by using Visual Studio, and in self-service scenarios, by using the data mining add-ins available in Microsoft Excel.
- published: 20 May 2014
- views: 20371
Webinar - Forecasting and Territory Management within Salesforce | Simplus
- Order: Reorder
- Duration: 24:33
- Updated: 16 Dec 2014
- views: 3121
Exceed your goals by forecasting and planning the right way. Salesforce provides an out-of-the-box forecasting module that can help you answer questions like:
...
Exceed your goals by forecasting and planning the right way. Salesforce provides an out-of-the-box forecasting module that can help you answer questions like:
1. How much revenue can I count on closing this month/quarter/year?
2. Which reps are doing the best/worst?
3. How can I fill the gap?
In this webinar, Salesforce expert, Carolyn Adams, shares valuable insights on how to get the most out of Salesforce's forecasting tools, and how to use that information to make smarter business decisions.
About Carolyn:
Carolyn Adams serves Simplus as the Vice President of the Salesforce division. As a Salesforce industry expert, Carolyn has helped implement or optimize Salesforce in over 125 companies for the better part of the last decade. Carolyn currently has her Salesforce Administrator, Advanced Administrator, Sales Cloud Consultant, Service Cloud Consultant, and Developer certifications.
For more information, please visit http://www2.simplus.com/workfront/salesforce or call us at 855.
wn.com/Webinar Forecasting And Territory Management Within Salesforce | Simplus
Exceed your goals by forecasting and planning the right way. Salesforce provides an out-of-the-box forecasting module that can help you answer questions like:
1. How much revenue can I count on closing this month/quarter/year?
2. Which reps are doing the best/worst?
3. How can I fill the gap?
In this webinar, Salesforce expert, Carolyn Adams, shares valuable insights on how to get the most out of Salesforce's forecasting tools, and how to use that information to make smarter business decisions.
About Carolyn:
Carolyn Adams serves Simplus as the Vice President of the Salesforce division. As a Salesforce industry expert, Carolyn has helped implement or optimize Salesforce in over 125 companies for the better part of the last decade. Carolyn currently has her Salesforce Administrator, Advanced Administrator, Sales Cloud Consultant, Service Cloud Consultant, and Developer certifications.
For more information, please visit http://www2.simplus.com/workfront/salesforce or call us at 855.
- published: 16 Dec 2014
- views: 3121
Mod-02 Lec-03 Forecasting -- Linear Models, Regression, Holt's , seasonality
- Order: Reorder
- Duration: 53:40
- Updated: 25 Jun 2012
- views: 21104
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm....
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
wn.com/Mod 02 Lec 03 Forecasting Linear Models, Regression, Holt's , Seasonality
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
- published: 25 Jun 2012
- views: 21104
Steve Jurvetson: Forecasting the Future of Technology [Entire Talk]
- Order: Reorder
- Duration: 48:46
- Updated: 12 Oct 2015
- views: 2058
A special panel of highly scientific minds discusses what the future holds for tech innovation, education and entrepreneurship. Panelists include Google's "capt...
A special panel of highly scientific minds discusses what the future holds for tech innovation, education and entrepreneurship. Panelists include Google's "captain of moonshots," Astro Teller, Stanford bioengineer Christina Smolke, an associate professor at the university's medical school, and DFJ General Partner Steve Jurvetson. Persis Drell, dean of the Stanford School of Engineering, moderates the discussion, with introductions by Stanford Professor Kathleen Eisenhardt.
View more clips and share your comments at http://ecorner.stanford.edu/authorMaterialInfo.html?mid=3568
wn.com/Steve Jurvetson Forecasting The Future Of Technology Entire Talk
A special panel of highly scientific minds discusses what the future holds for tech innovation, education and entrepreneurship. Panelists include Google's "captain of moonshots," Astro Teller, Stanford bioengineer Christina Smolke, an associate professor at the university's medical school, and DFJ General Partner Steve Jurvetson. Persis Drell, dean of the Stanford School of Engineering, moderates the discussion, with introductions by Stanford Professor Kathleen Eisenhardt.
View more clips and share your comments at http://ecorner.stanford.edu/authorMaterialInfo.html?mid=3568
- published: 12 Oct 2015
- views: 2058
CMA Part 1 - Forecasting Techniques by Mr Hasham Abbasi
- Order: Reorder
- Duration: 48:35
- Updated: 25 Nov 2015
- views: 635
- published: 25 Nov 2015
- views: 635
Michael S Jenkins The Science of Numbers Forecasting the Stock Market
- Order: Reorder
- Duration: 28:36
- Updated: 18 Aug 2014
- views: 5002
Shows you how to find the cycle harmonics in the highs and low numbers of the stock market using various Michael S. Jenkins and Stock Cycles Forecast.com metho...
Shows you how to find the cycle harmonics in the highs and low numbers of the stock market using various Michael S. Jenkins and Stock Cycles Forecast.com methods
wn.com/Michael S Jenkins The Science Of Numbers Forecasting The Stock Market
Tornado Forecasting Workshop with Rich Thompson - Class 2
- Order: Reorder
- Duration: 77:12
- Updated: 11 Feb 2015
- views: 6684
Come watch live as the Storm Prediction Center's Lead Forecaster Rich Thompson gives the second of many informal workshops detailing the meteorology behind torn...
Come watch live as the Storm Prediction Center's Lead Forecaster Rich Thompson gives the second of many informal workshops detailing the meteorology behind tornado forecasting.
Class 2 - Severe storm ingredients: moisture and lapse rate sources
wn.com/Tornado Forecasting Workshop With Rich Thompson Class 2
Come watch live as the Storm Prediction Center's Lead Forecaster Rich Thompson gives the second of many informal workshops detailing the meteorology behind tornado forecasting.
Class 2 - Severe storm ingredients: moisture and lapse rate sources
- published: 11 Feb 2015
- views: 6684
Electricity Load and Price Forecasting with MATLAB
- Order: Reorder
- Duration: 46:35
- Updated: 07 Apr 2015
- views: 3334
The webinar video shows all the process of the MATLAB data forecasting:
1) Import data from your database;
2) Analyze queries;
3) Build prediction model;
4) Exp...
The webinar video shows all the process of the MATLAB data forecasting:
1) Import data from your database;
2) Analyze queries;
3) Build prediction model;
4) Export your MATLAB script into EXCELL Add-in / Java Package / C\C++ Lib, etc.;
COPYRIGHT:
________________________________________
Copyright (c) 2010, The MathWorks, Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the distribution
* Neither the name of the The MathWorks, Inc. nor the names
of its contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
wn.com/Electricity Load And Price Forecasting With Matlab
The webinar video shows all the process of the MATLAB data forecasting:
1) Import data from your database;
2) Analyze queries;
3) Build prediction model;
4) Export your MATLAB script into EXCELL Add-in / Java Package / C\C++ Lib, etc.;
COPYRIGHT:
________________________________________
Copyright (c) 2010, The MathWorks, Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the distribution
* Neither the name of the The MathWorks, Inc. nor the names
of its contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
- published: 07 Apr 2015
- views: 3334
Mod-02 Lec-04 Forecasting -- Winter's model, causal models, Goodness of forecast, Aggregate Planning
- Order: Reorder
- Duration: 59:46
- Updated: 25 Jun 2012
- views: 18619
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm....
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
wn.com/Mod 02 Lec 04 Forecasting Winter's Model, Causal Models, Goodness Of Forecast, Aggregate Planning
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in
- published: 25 Jun 2012
- views: 18619
Forecast Accurately with Salesforce Forecasting
- Order: Reorder
- Duration: 39:34
- Updated: 07 Oct 2015
- views: 303
Join us to learn how Salesforce Collaborative Forecasting can give sales leaders visibility into future sales booking or sales revenue. Hear from two customers,...
Join us to learn how Salesforce Collaborative Forecasting can give sales leaders visibility into future sales booking or sales revenue. Hear from two customers, Pure Storage and Nitro, on how they leverage forecasting and the benefits they''ve realized so far. You''ll also learn how matrix sales organizations can track splits by revenue or overlay and the additional capability of forecasting by custom field.
wn.com/Forecast Accurately With Salesforce Forecasting
Join us to learn how Salesforce Collaborative Forecasting can give sales leaders visibility into future sales booking or sales revenue. Hear from two customers, Pure Storage and Nitro, on how they leverage forecasting and the benefits they''ve realized so far. You''ll also learn how matrix sales organizations can track splits by revenue or overlay and the additional capability of forecasting by custom field.
- published: 07 Oct 2015
- views: 303
(NEW!) Electricity Load and Price Forecasting with MATLAB (NOT edited)
- Order: Reorder
- Duration: 47:44
- Updated: 05 Nov 2015
- views: 521
This is NOT-edited version of the webinar uploaded by numerous requests due to interface issue(youtu.be/_V3zJkgG3zk)
___________________________________________...
This is NOT-edited version of the webinar uploaded by numerous requests due to interface issue(youtu.be/_V3zJkgG3zk)
________________________________________________
The webinar video shows all the process of the MATLAB data forecasting:
1) Import data from your database;
2) Analyze queries;
3) Build prediction model;
4) Export your MATLAB script into EXCELL Add-in / Java Package / C\C++ Lib, etc.;
COPYRIGHT:
________________________________________
Copyright (c) 2010, The MathWorks, Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the distribution
* Neither the name of the The MathWorks, Inc. nor the names
of its contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
wn.com/(New ) Electricity Load And Price Forecasting With Matlab (Not Edited)
This is NOT-edited version of the webinar uploaded by numerous requests due to interface issue(youtu.be/_V3zJkgG3zk)
________________________________________________
The webinar video shows all the process of the MATLAB data forecasting:
1) Import data from your database;
2) Analyze queries;
3) Build prediction model;
4) Export your MATLAB script into EXCELL Add-in / Java Package / C\C++ Lib, etc.;
COPYRIGHT:
________________________________________
Copyright (c) 2010, The MathWorks, Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the distribution
* Neither the name of the The MathWorks, Inc. nor the names
of its contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
- published: 05 Nov 2015
- views: 521
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53:01
Mod-02 Lec-02 Forecasting -- Time series models -- Simple Exponential smoothing
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management S...
published: 25 Jun 2012
Mod-02 Lec-02 Forecasting -- Time series models -- Simple Exponential smoothing
Mod-02 Lec-02 Forecasting -- Time series models -- Simple Exponential smoothing
- Report rights infringement
- published: 25 Jun 2012
- views: 71025
18:06
Excel - Time Series Forecasting - Part 1 of 3
Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature;=youtu.be
Part 3: http://www.y...
published: 18 Apr 2013
Excel - Time Series Forecasting - Part 1 of 3
Excel - Time Series Forecasting - Part 1 of 3
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- published: 18 Apr 2013
- views: 240829
28:33
Forecasting
Table of Contents:
00:00 - Operations ManagementForecasting
00:03 - Objectives
00:09 - Ou...
published: 31 Mar 2015
Forecasting
Forecasting
- Report rights infringement
- published: 31 Mar 2015
- views: 3121
12:51
Operations Management 101: Time-Series Forecasting Introduction
In this video I cover the basics of Time Series Forecasting by offering everyday examples ...
published: 05 Jul 2012
Operations Management 101: Time-Series Forecasting Introduction
Operations Management 101: Time-Series Forecasting Introduction
- Report rights infringement
- published: 05 Jul 2012
- views: 20674
58:48
Lecture - 34 Forecasting
Lecture series on Project and Production Management by Prof. Arun kanda, Department of Mec...
published: 26 Apr 2008
Lecture - 34 Forecasting
Lecture - 34 Forecasting
- Report rights infringement
- published: 26 Apr 2008
- views: 94336
15:22
Forecasting - Exponential Smoothing
Video tutorial of forecasting using exponential smoothing
published: 01 Feb 2013
Forecasting - Exponential Smoothing
Forecasting - Exponential Smoothing
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- published: 01 Feb 2013
- views: 50304
16:00
ORGL 330: Forecasting Methods (Ch 14-15)
published: 08 Apr 2013
ORGL 330: Forecasting Methods (Ch 14-15)
ORGL 330: Forecasting Methods (Ch 14-15)
- Report rights infringement
- published: 08 Apr 2013
- views: 7859
0:31
Alpha Modus + IBM Watson on Cognitive Forecasting
Prashant Bhuyan, co-founder of the successful fin-tech start-up Alpha Modus, and IBM Watso...
published: 07 Apr 2016
Alpha Modus + IBM Watson on Cognitive Forecasting
Alpha Modus + IBM Watson on Cognitive Forecasting
- Report rights infringement
- published: 07 Apr 2016
- views: 2178
25:22
Basic Excel Business Analytics #56: Forecasting with Linear Regression: Trend & Seasonal Pattern
Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/ex...
published: 04 Dec 2015
Basic Excel Business Analytics #56: Forecasting with Linear Regression: Trend & Seasonal Pattern
Basic Excel Business Analytics #56: Forecasting with Linear Regression: Trend & Seasonal Pattern
- Report rights infringement
- published: 04 Dec 2015
- views: 2123
10:30
Forecasting - Simple moving average - Example 1
In this video, you will learn how to find out the 3 month and 4 monthly moving average for...
published: 21 Feb 2014
Forecasting - Simple moving average - Example 1
Forecasting - Simple moving average - Example 1
- Report rights infringement
- published: 21 Feb 2014
- views: 32909
24:05
Forecasting - Linear regression - Example 1 - Part 1
In this video, you will learn how to find the demand forecast using linear regression.
published: 24 Feb 2014
Forecasting - Linear regression - Example 1 - Part 1
Forecasting - Linear regression - Example 1 - Part 1
- Report rights infringement
- published: 24 Feb 2014
- views: 7830
18:31
Forecasting in the past, present, and future: David Orrell at TEDxParkKultury
David Orrell, Oxford, UK.
Mathematician and writer, author of numerous publications on sc...
published: 19 Apr 2012
Forecasting in the past, present, and future: David Orrell at TEDxParkKultury
Forecasting in the past, present, and future: David Orrell at TEDxParkKultury
- Report rights infringement
- published: 19 Apr 2012
- views: 3037
16:37
Forecasting with Seasonality
A brief Excel demonstration of solving a forecasting problem with seasonality.
published: 08 Feb 2013
Forecasting with Seasonality
Forecasting with Seasonality
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- published: 08 Feb 2013
- views: 56428
6:46
Forecasting Financial Statements - Part 1.mp4
This is the first video on "Forecasting", where we start to think about how we go from wha...
published: 17 May 2012
Forecasting Financial Statements - Part 1.mp4
Forecasting Financial Statements - Part 1.mp4
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- published: 17 May 2012
- views: 25936
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1:28
Tim Berry on How To Do a Better Job Forecasting Sales
published: 14 Apr 2016
Tim Berry on How To Do a Better Job Forecasting Sales
Tim Berry on How To Do a Better Job Forecasting Sales
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- published: 14 Apr 2016
- views: 0
0:50
Kraft rule of Tropical cyclone rainfall forecasting Top 5 Facts.mp4
published: 14 Apr 2016
Kraft rule of Tropical cyclone rainfall forecasting Top 5 Facts.mp4
Kraft rule of Tropical cyclone rainfall forecasting Top 5 Facts.mp4
- Report rights infringement
- published: 14 Apr 2016
- views: 0
1:00
Numerical weather prediction of Tropical cyclone rainfall forecasting Top 6 Facts.mp4
published: 14 Apr 2016
Numerical weather prediction of Tropical cyclone rainfall forecasting Top 6 Facts.mp4
Numerical weather prediction of Tropical cyclone rainfall forecasting Top 6 Facts.mp4
- Report rights infringement
- published: 14 Apr 2016
- views: 0
0:25
Forecasting for the Pharmaceutical Industry by Arthur G. Cook
Read / Download : http://reyl.online/?id=qCarCwAAQBAJ
published: 14 Apr 2016
Forecasting for the Pharmaceutical Industry by Arthur G. Cook
Forecasting for the Pharmaceutical Industry by Arthur G. Cook
- Report rights infringement
- published: 14 Apr 2016
- views: 0
0:28
Business Forecasting with Forecastx by J. Holton Wilson
Read or Download : http://reyl.online/?id=XXs8PgAACAAJ
published: 14 Apr 2016
Business Forecasting with Forecastx by J. Holton Wilson
Business Forecasting with Forecastx by J. Holton Wilson
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- published: 14 Apr 2016
- views: 0
4:23
Flying Star Feng Shui 2016 Forecast - Year of the Monkey
2016 is Year of the Fire Monkey and many experts are forecasting this to be a challenging,...
published: 14 Apr 2016
Flying Star Feng Shui 2016 Forecast - Year of the Monkey
Flying Star Feng Shui 2016 Forecast - Year of the Monkey
- Report rights infringement
- published: 14 Apr 2016
- views: 57
2:58
How not to do the weather(jumalus sucks at forecasting)
Hey, you found the description!
Check out adams chanell and another take on this at
http...
published: 14 Apr 2016
How not to do the weather(jumalus sucks at forecasting)
How not to do the weather(jumalus sucks at forecasting)
- Report rights infringement
- published: 14 Apr 2016
- views: 3
14:28
Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
To forecast out, we need some data. We decided that we're forecasting out 10% of the data,...
published: 14 Apr 2016
Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
- Report rights infringement
- published: 14 Apr 2016
- views: 277
0:16
Tornado Forecasting - Sat at 10p
published: 13 Apr 2016
Tornado Forecasting - Sat at 10p
Tornado Forecasting - Sat at 10p
- Report rights infringement
- published: 13 Apr 2016
- views: 0
0:31
IBM Watson Commercial 2016, Alpha Modus + IBM Watson on Cognitive Forecasting
IBM Watson Commercial 2016, Alpha Modus + IBM Watson on Cognitive Forecasting
published: 13 Apr 2016
IBM Watson Commercial 2016, Alpha Modus + IBM Watson on Cognitive Forecasting
IBM Watson Commercial 2016, Alpha Modus + IBM Watson on Cognitive Forecasting
- Report rights infringement
- published: 13 Apr 2016
- views: 6
59:47
How Finance Teams Chart a Course to Improve Planning and Forecasting with Advanced Analytics
This webinar—sponsored by IBM and Financial Executives International—examines key focus ar...
published: 13 Apr 2016
How Finance Teams Chart a Course to Improve Planning and Forecasting with Advanced Analytics
How Finance Teams Chart a Course to Improve Planning and Forecasting with Advanced Analytics
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- published: 13 Apr 2016
- views: 3
1:00
Charlie Bagley | Channel 3, WFSB, Hartford | Weather Forecast
Charlie Bagley (1929 - 2011), also known as "Fair Weather Charlie," delivers a weather for...
published: 13 Apr 2016
Charlie Bagley | Channel 3, WFSB, Hartford | Weather Forecast
Charlie Bagley | Channel 3, WFSB, Hartford | Weather Forecast
- Report rights infringement
- published: 13 Apr 2016
- views: 0
27:00
Charcha Mein: Forecasting of Drought and Monsoon
Charcha Mein: Forecasting of Drought and Monsoon
published: 13 Apr 2016
Charcha Mein: Forecasting of Drought and Monsoon
Charcha Mein: Forecasting of Drought and Monsoon
- Report rights infringement
- published: 13 Apr 2016
- views: 7
0:47
AcuRite Color Weather Station with Forecast
Patented Self-Calibrating Forecasting pulls data from a sensor in your backyard.http://goo...
published: 13 Apr 2016
AcuRite Color Weather Station with Forecast
AcuRite Color Weather Station with Forecast
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- published: 13 Apr 2016
- views: 1
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41:12
Budgeting, Planning, & Forecasting Demo
This video is a demo of Anaplan's Budgeting, Planning & Forecasting App. This app enables ...
published: 19 Jan 2015
Budgeting, Planning, & Forecasting Demo
Budgeting, Planning, & Forecasting Demo
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- published: 19 Jan 2015
- views: 11508
24:29
DEMAND FORECASTING AND TECHNIQUES
published: 17 Oct 2014
DEMAND FORECASTING AND TECHNIQUES
DEMAND FORECASTING AND TECHNIQUES
- Report rights infringement
- published: 17 Oct 2014
- views: 3822
30:23
Zoho CRM - Sales Tracking & Forecasting
At the Sales & Marketing Zoholics event, Ricky Thakrar explains and demonstrates the modul...
published: 09 Sep 2014
Zoho CRM - Sales Tracking & Forecasting
Zoho CRM - Sales Tracking & Forecasting
- Report rights infringement
- published: 09 Sep 2014
- views: 13124
74:51
Forecasting with the Microsoft Time Series Data Mining Algorithm
Imagine taking historical stock market data and using data science to more accurately pred...
published: 20 May 2014
Forecasting with the Microsoft Time Series Data Mining Algorithm
Forecasting with the Microsoft Time Series Data Mining Algorithm
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- published: 20 May 2014
- views: 20371
24:33
Webinar - Forecasting and Territory Management within Salesforce | Simplus
Exceed your goals by forecasting and planning the right way. Salesforce provides an out-of...
published: 16 Dec 2014
Webinar - Forecasting and Territory Management within Salesforce | Simplus
Webinar - Forecasting and Territory Management within Salesforce | Simplus
- Report rights infringement
- published: 16 Dec 2014
- views: 3121
53:40
Mod-02 Lec-03 Forecasting -- Linear Models, Regression, Holt's , seasonality
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management S...
published: 25 Jun 2012
Mod-02 Lec-03 Forecasting -- Linear Models, Regression, Holt's , seasonality
Mod-02 Lec-03 Forecasting -- Linear Models, Regression, Holt's , seasonality
- Report rights infringement
- published: 25 Jun 2012
- views: 21104
48:46
Steve Jurvetson: Forecasting the Future of Technology [Entire Talk]
A special panel of highly scientific minds discusses what the future holds for tech innova...
published: 12 Oct 2015
Steve Jurvetson: Forecasting the Future of Technology [Entire Talk]
Steve Jurvetson: Forecasting the Future of Technology [Entire Talk]
- Report rights infringement
- published: 12 Oct 2015
- views: 2058
48:35
CMA Part 1 - Forecasting Techniques by Mr Hasham Abbasi
published: 25 Nov 2015
CMA Part 1 - Forecasting Techniques by Mr Hasham Abbasi
CMA Part 1 - Forecasting Techniques by Mr Hasham Abbasi
- Report rights infringement
- published: 25 Nov 2015
- views: 635
28:36
Michael S Jenkins The Science of Numbers Forecasting the Stock Market
Shows you how to find the cycle harmonics in the highs and low numbers of the stock market...
published: 18 Aug 2014
Michael S Jenkins The Science of Numbers Forecasting the Stock Market
77:12
Tornado Forecasting Workshop with Rich Thompson - Class 2
Come watch live as the Storm Prediction Center's Lead Forecaster Rich Thompson gives the s...
published: 11 Feb 2015
Tornado Forecasting Workshop with Rich Thompson - Class 2
Tornado Forecasting Workshop with Rich Thompson - Class 2
- Report rights infringement
- published: 11 Feb 2015
- views: 6684
46:35
Electricity Load and Price Forecasting with MATLAB
The webinar video shows all the process of the MATLAB data forecasting:
1) Import data fro...
published: 07 Apr 2015
Electricity Load and Price Forecasting with MATLAB
Electricity Load and Price Forecasting with MATLAB
- Report rights infringement
- published: 07 Apr 2015
- views: 3334
59:46
Mod-02 Lec-04 Forecasting -- Winter's model, causal models, Goodness of forecast, Aggregate Planning
Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management S...
published: 25 Jun 2012
Mod-02 Lec-04 Forecasting -- Winter's model, causal models, Goodness of forecast, Aggregate Planning
Mod-02 Lec-04 Forecasting -- Winter's model, causal models, Goodness of forecast, Aggregate Planning
- Report rights infringement
- published: 25 Jun 2012
- views: 18619
39:34
Forecast Accurately with Salesforce Forecasting
Join us to learn how Salesforce Collaborative Forecasting can give sales leaders visibilit...
published: 07 Oct 2015
Forecast Accurately with Salesforce Forecasting
Forecast Accurately with Salesforce Forecasting
- Report rights infringement
- published: 07 Oct 2015
- views: 303
47:44
(NEW!) Electricity Load and Price Forecasting with MATLAB (NOT edited)
This is NOT-edited version of the webinar uploaded by numerous requests due to interface i...
published: 05 Nov 2015
(NEW!) Electricity Load and Price Forecasting with MATLAB (NOT edited)
(NEW!) Electricity Load and Price Forecasting with MATLAB (NOT edited)
- Report rights infringement
- published: 05 Nov 2015
- views: 521
Budgeting, Planning, & Forecasting Demo...
DEMAND FORECASTING AND TECHNIQUES...
Zoho CRM - Sales Tracking & Forecasting...
Forecasting with the Microsoft Time Series Data Mi...
Webinar - Forecasting and Territory Management wit...
Mod-02 Lec-03 Forecasting -- Linear Models, Regres...
Steve Jurvetson: Forecasting the Future of Technol...
CMA Part 1 - Forecasting Techniques by Mr Hasham A...
Michael S Jenkins The Science of Numbers Forecasti...
Tornado Forecasting Workshop with Rich Thompson - ...
Electricity Load and Price Forecasting with MATLAB...
Mod-02 Lec-04 Forecasting -- Winter's model, causa...
Forecast Accurately with Salesforce Forecasting...
(NEW!) Electricity Load and Price Forecasting with...
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Lyrics list:text lyricsplay full screenplay karaoke
photo: AP / Koji Ueda
New earthquake hits southern Japan
Edit Al Jazeera 15 Apr 2016
A magnitude 7.4 earthquake hit southern Japan on Friday and a tsunami warning was issued, according to the US Geological Survey ... More soon.... ....
photo: AP / Rex Features
Istanbul 2005 Final Inspires Liverpool to Beat Dortmund in Seven-goal Thriller
Edit Community news 15 Apr 2016
11 years ago after Liverpool triumph in Turkey, Liverpool survived to another huge scare before winning one of the most entertaining Europa League knockout phase of the day to seal a 5-4 on aggregate win over Dortmund. Dortmund had managed the perfect start to the match ... Just after the break, Origi well tried and hit back at (48', 1-2) ... d'ALMEIDA. ....
photo: Creative Commons / Pavel
500-Pound Shark Snatches Sailfish From Anglers’ Hook
Edit Breitbart 15 Apr 2016photo: AP / Willis Glassgow
NY Post Editorial Board Endorses 'Rookie' Donald Trump In Republican Primary
Edit WorldNews.com 15 Apr 2016
Despite citing a few qualms, the editorial board of the New York Post endorsed Republican frontrunner Donald Trump in an editorial on late Thursday, the first major New York publication to do so, CBS News reported. "Trump is now an imperfect messenger carrying a vital message ... better informed on policy, more self-disciplined and less thin-skinned," the editorial read....
photo: NASA/JPL-Caltech
In A Constellation Far, Far Away, This Galaxy Is A Ruthless Cannibal Eating Its Neighbors
Edit Inquisitr 15 Apr 2016
Space is a ruthless place. An image captured by the Very Large Telescope in Chile has revealed a cluster of galaxies 65 million light years from Earth — and one of them is in cannibal, swallowing the others. The cannibal galaxy was found in the Fornax cluster, which contains a menagerie of galaxies of a variety of shapes and sizes ... In the middle of Fornax is a beast called NGC 1399, which is a cD galaxy — or cannibal....
« back to news headlines
Forecast: Threat of rain will diminish after Saturday
Edit Tampa Bay Online 16 Apr 2016
See what's happening next with TBO.com's interactive radar and full hourly forecast, plan ahead with a detailed 10-day forecast or get your weather information on the go with the TBO Weather Center app....
Infosys software's sales forecast beats estimates
Edit The Salt Lake Tribune 16 Apr 2016
Infosys Ltd. forecast better-than-expected sales growth this fiscal year, as India’s second largest software exporter captures new contracts for information technology services. Sales will rise between 11.8 percent and 13.8 percent in U.S. dollar terms for the 12 months ending March, the Bangalore-based company said Friday ... Infosys is the first of India’s IT giants to report ea... ....
No April showers? Midstate in for warm, dry stretch
Edit Penn Live 16 Apr 2016
Halfway though April, the midstate doesn't have any showers in the forecast for the immediate future and forecasters are calling for temperatures five to 15 degrees above normal for that stretch ... In fact, forecasts aren't calling for any rain until next Friday ... Here's a look at the extended forecast through Tuesday.. SATURDAY. Sunny with a high near 67 ... ....
Tomorrow in West Bengal, tailwind for Opposition alliance
Edit Indian Express 16 Apr 2016
“It will work in Bengal, too, as divergent political forces come under one umbrella,” Choudhary forecast. Whether that forecast will remain valid is a story that will be known only on May 19, but as the West Bengal Assembly elections enter the crucial second phase, after a two-part first phase, it covers a vast geographical spread of seven districts, and 56 seats, where the “maha ghatbandhan” in Bengal should pin their hopes on....
Japan hit by second powerful earthquake with fears of worse ahead
Edit The Guardian 16 Apr 2016
Further deaths and damage in region of Kumamoto on Kyushu island, with thousands evacuated, rescuers searching rubble and heavy rain forecast ... On Thursday a weaker magnitude 6.5 earthquake in the same region of Kumamoto brought down buildings, killed nine people and injured about 800 ... Adding to an atmosphere already fraught with uncertainty, heavy rain was forecast Saturday evening, bringing the risk of further landslides ... Facebook ... ....
Boston, Statue of Liberty among sites threatened by rising seas levels
Edit The Providence Journal 16 Apr 2016
With scientists forecasting that sea levels will rise by anywhere from several inches to several feet by 2100, historic structures and coastal heritage sites around the world are threatened ... ....
Vishal Sikka's magic drives Infosys to post third straight strong earnings
Edit DNA India 16 Apr 2016
-->. The company has also projected strong revenue growth for the upcoming quarter ... The company forecast strong revenue growth and reported its third successive estimate-beating earnings on new client wins, solidifying a recovery that began a year ago under its new chief executive ... ALSO READ ... CEO Vishal Sikka ... Industry body Nasscom had forecast in February a 10-12% growth for IT and software services exports in the current financial year....
Spring has sprung yet winter weather pushing through Colorado this weekend (Colorado Department of Transportation)
Edit Public Technologies 16 Apr 2016
(Source. Colorado Department of Transportation) ... Currently with temperatures staying low and the snow sticking around, forecasters are not reporting the potential for flooding ... This is what the CAIC is forecasting for southwest and south-central Colorado. ... Go to GoI70.com - hosted by the I-70 Coalition - to see weekly I-70 travel forecasts based on historical data and how weather, construction or events may impact the mountain commute;....
Commission meets April 22 in Bandon to adopt ocean salmon and halibut seasons, bird hunting regulations, Field tour on April 21 (ODFW - Oregon Department of Fish And Wildlife)
Edit Public Technologies 16 Apr 2016
Forecasts for Klamath River fall Chinook are much poorer than in recent years and below average for Sacramento River fall chinook. Coho returns to the Columbia River and Oregon Coast are forecast to be much lower than recent years but Columbia River fall Chinook return is forecast to be large again (955K fish).The seasons in ocean waters beyond ......
Kiermaier, Forsythe exit after outfield collision (Tampa Bay Rays)
Edit Public Technologies 16 Apr 2016
(Source. Tampa Bay Rays) ... My question is ... -- Tom M., Tampa, Fla ... 1. He also took the loss to the Blue Jays on Sunday in the Rays' opener, but he struck out 12 in five innings, putting on display the electric stuff that has experts forecasting him as a candidate to win the American League Cy Young Award ... Gibson turned 27 on Nov ... (noodl....
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