8:21
Probability & Statistics Tutor - Sample2 - Intro Probability
This is the second sample video from the 10 hour "Probability and Statistics Tutor " DVD a...
published: 10 May 2008
author: mathtutordvd
Probability & Statistics Tutor - Sample2 - Intro Probability
Probability & Statistics Tutor - Sample2 - Intro Probability
This is the second sample video from the 10 hour "Probability and Statistics Tutor " DVD available at MathTutorDVD.com. This clip covers the intro to probabi...- published: 10 May 2008
- views: 40626
- author: mathtutordvd
4:11
Probability and Statistics
Learn about Probability and Statistics, a brief introduction at mathebook.net....
published: 14 Oct 2008
author: calculatorbox
Probability and Statistics
Probability and Statistics
Learn about Probability and Statistics, a brief introduction at mathebook.net.- published: 14 Oct 2008
- views: 42227
- author: calculatorbox
104:04
Introduction to Probability and Statistics 131A. Lecture 1. Probability
Recorded on June 24, 2013....
published: 25 Jun 2013
author: UCIrvineOCW
Introduction to Probability and Statistics 131A. Lecture 1. Probability
Introduction to Probability and Statistics 131A. Lecture 1. Probability
Recorded on June 24, 2013.- published: 25 Jun 2013
- views: 515
- author: UCIrvineOCW
2:15
How to Figure Out Probability & Statistics Using Marbles : Algebra, Geometry & Other Math Tips
Subscribe Now: http://www.youtube.com/subscription_center?add_user=ehoweducation Watch Mor...
published: 26 Apr 2013
author: eHowEducation
How to Figure Out Probability & Statistics Using Marbles : Algebra, Geometry & Other Math Tips
How to Figure Out Probability & Statistics Using Marbles : Algebra, Geometry & Other Math Tips
Subscribe Now: http://www.youtube.com/subscription_center?add_user=ehoweducation Watch More: http://www.youtube.com/ehoweducation Figuring out probability an...- published: 26 Apr 2013
- views: 1244
- author: eHowEducation
10:58
Introduction to Probability and Statistics (HD)
Introduction to Probability and Statistics....
published: 10 Jan 2010
author: ddd5119
Introduction to Probability and Statistics (HD)
Introduction to Probability and Statistics (HD)
Introduction to Probability and Statistics.- published: 10 Jan 2010
- views: 18503
- author: ddd5119
46:30
Lecture 1: Probability and Counting | Statistics 110
We introduce sample spaces and the naive definition of probability (we'll get to the non-n...
published: 29 Apr 2013
author: Harvard
Lecture 1: Probability and Counting | Statistics 110
Lecture 1: Probability and Counting | Statistics 110
We introduce sample spaces and the naive definition of probability (we'll get to the non-naive definition later). To apply the naive definition, we need to b...- published: 29 Apr 2013
- views: 7725
- author: Harvard
94:01
Introduction to Probability and Statistics 131B. Lecture 02.
Recorded August 7, 2013....
published: 08 Aug 2013
author: UCIrvineOCW
Introduction to Probability and Statistics 131B. Lecture 02.
Introduction to Probability and Statistics 131B. Lecture 02.
Recorded August 7, 2013.- published: 08 Aug 2013
- views: 56
- author: UCIrvineOCW
101:35
Introduction to Probability and Statistics 131A. Lecture 3. Random Variables
Recorded on June 28, 2013. For more information and access to courses, lectures, and teach...
published: 02 Jul 2013
author: UCIrvineOCW
Introduction to Probability and Statistics 131A. Lecture 3. Random Variables
Introduction to Probability and Statistics 131A. Lecture 3. Random Variables
Recorded on June 28, 2013. For more information and access to courses, lectures, and teaching material, please visit the official UC Irvine OpenCourseWare we...- published: 02 Jul 2013
- views: 211
- author: UCIrvineOCW
3:17
SAT Math (Probability and Statistics) - Practice 2.10
The video provides an explanation of a practice SAT math question involving probability an...
published: 04 Dec 2012
author: bullcleo1
SAT Math (Probability and Statistics) - Practice 2.10
SAT Math (Probability and Statistics) - Practice 2.10
The video provides an explanation of a practice SAT math question involving probability and statistics. View or download the practice questions at http://www...- published: 04 Dec 2012
- views: 456
- author: bullcleo1
5:35
Probability and Statistics: The Birthday Problem
Mr. Mike (www.radicaltutor.com) discusses the chance that two students in a classroom have...
published: 30 Jun 2010
author: Michael Pandolfini
Probability and Statistics: The Birthday Problem
Probability and Statistics: The Birthday Problem
Mr. Mike (www.radicaltutor.com) discusses the chance that two students in a classroom have the same birthday.- published: 30 Jun 2010
- views: 8055
- author: Michael Pandolfini
68:51
Probability & Statistics with Prof David Spiegelhalter DAY1/14 (HD)
This video forms part of a mathematics course on Probability & Statistics by Prof David Sp...
published: 10 Jan 2013
author: AIMSacza
Probability & Statistics with Prof David Spiegelhalter DAY1/14 (HD)
Probability & Statistics with Prof David Spiegelhalter DAY1/14 (HD)
This video forms part of a mathematics course on Probability & Statistics by Prof David Spiegelhalter held at AIMS South Africa in 2012. Please visit video-c...- published: 10 Jan 2013
- views: 1695
- author: AIMSacza
35:27
Probability and Statistics Part 1 of 3
Gives an overview of probability including discussions of experimental vs. theoretical pro...
published: 31 Jan 2013
author: Randy Thomas
Probability and Statistics Part 1 of 3
Probability and Statistics Part 1 of 3
Gives an overview of probability including discussions of experimental vs. theoretical probability, geometrical probability, mutually exclusive vs. non-exclu...- published: 31 Jan 2013
- views: 203
- author: Randy Thomas
99:56
Introduction to Probability and Statistics 131A. Lecture 6. Joint Distribution
Recorded on July 5, 2013. For more information and access to courses, lectures, and teachi...
published: 05 Jul 2013
author: UCIrvineOCW
Introduction to Probability and Statistics 131A. Lecture 6. Joint Distribution
Introduction to Probability and Statistics 131A. Lecture 6. Joint Distribution
Recorded on July 5, 2013. For more information and access to courses, lectures, and teaching material, please visit the official UC Irvine OpenCourseWare web...- published: 05 Jul 2013
- views: 158
- author: UCIrvineOCW
4:15
OBJECTIVE PROBABILITY and STATISTICS IN THE MOVIES - PROPENSITY BASED - MATHEMATICS
Probabilities based on a model of the physical situation !
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21
CASINO ROYALE
21
HITC...
published: 01 Jan 2014
OBJECTIVE PROBABILITY and STATISTICS IN THE MOVIES - PROPENSITY BASED - MATHEMATICS
OBJECTIVE PROBABILITY and STATISTICS IN THE MOVIES - PROPENSITY BASED - MATHEMATICS
Probabilities based on a model of the physical situation ! / / / 21 CASINO ROYALE 21 HITCH HIKERS GUIDE TO THE GALAXY PAUL STAR WARS V - EMPIRE STRIKES BACK DAY AFTER TOMOROW CASINO ROYALE LIMITLESS MAGNOLIA NEXT NO COUNTRY FOR OLD MEN STAR WARS V - EMPIRE STRIKES BACK- published: 01 Jan 2014
- views: 31
Vimeo results:
1:39
Robot Pedagogue
robotpedagogue.org
Robot Pedagogue is a data processing and visualization program that a...
published: 18 Mar 2010
author: Rob Seward
Robot Pedagogue
robotpedagogue.org
Robot Pedagogue is a data processing and visualization program that attempts to author and evaluate new texts by distilling selected texts from the canon of pedagogical theory.
In the exhibition 'Subject of Learning/Object of Study' at the Blanton Museum in Austin TX, 5 steps of the authoring and evaluation process were visualized on iMac computers usually intended for browsing library collections.
Three source texts are randomly selected from the library collection, then excerpted and collated.
The combined source texts are fragmented, analyzed, and recombined by chaining together statistically probable sequences of words. A new text is produced.
The new text is rendered plainly in Library Hand, a19th century handwriting convention invented by Melvil Dewey to standardize the appearance of library records.
The text is translated into Maria Montessori's grammar symbols, then evaluated for semantic coherence and emotional acceptability using a word-association database developed at the University of Southern Florida.
The new text is scored and archived.
47:27
Scientific Reliability of the Bible
The last of the 6-part series highlights Biblical insights that were truly amazing for suc...
published: 14 May 2010
author: Don Johnson
Scientific Reliability of the Bible
The last of the 6-part series highlights Biblical insights that were truly amazing for such an ancient book, including fields like astronomy, meteorology, health, biology, and physics. The science of the crucifixion will be shown. The archaeological evidence from the Ebla Tablets, the Dead Sea Scrolls, and other findings will be examined. The statistical probabilities of several Biblical prophecies will be analyzed. The possibility of "hidden" codes imbedded within the Hebrew text is shown to defy probability. The Bible is shown to be amazingly accurate and reliable, even in areas of science.
60:07
Machine Learning for Java Developers - it’s not just the algorithms
Learn how to build and run a system that gets smarter over time by learning from data. If ...
published: 17 Sep 2013
author: JavaZone
Machine Learning for Java Developers - it’s not just the algorithms
Learn how to build and run a system that gets smarter over time by learning from data. If you already took a class in machine learning this talk will show you how to translate those skills into a working system. If you don’t know any machine learning you will get a gentle introduction and gain a better understanding for how the data-driven sausage is made.
This talk will teach you what goes into building and running a machine learning system, as seen from a Java developer’s perspective. This will prepare you for the next phase of Big Data, where data is used not just for informing decisions but to drive system behavior. Instead of going into the details of algorithms we will discuss the overall system and project lifecycle (modeling, training, serving, re-training). Along the way you will get practical tips and advice about useful tools, some that you already know and some you probably haven’t heard of. Lastly you will get some tips for how can start playing around with this stuff even if nobody is paying you for it.
Intended audience
This talk mainly targets Java developers with an interest in machine learning or just an interest in learning something new. The talk should also be useful for entrepreneurs with ideas for data-driven apps or services, or for anyone working on such projects. To work with machine learning it is useful to know some statistics and probability theory, but for this talk we’ll keep the math to a minimum.
19:06
The Digital Code of DNA and the Unimagined Complexity of a 'Simple' Bacteria - Rabbi Moshe Averick
Entire video is at the following site:
Nonsense of a High Order: The Confused and Illusor...
published: 26 Jan 2012
author: Philip Cunningham
The Digital Code of DNA and the Unimagined Complexity of a 'Simple' Bacteria - Rabbi Moshe Averick
Entire video is at the following site:
Nonsense of a High Order: The Confused and Illusory World of the Atheist.
A Scientific Case for God by Rabbi Moshe Averick - video
http://www.youtube.com/watch?v=isr90m-ccgE
Notes on DNA;
Even the leading "New Atheist" in the world, Richard Dawkins, agrees that DNA functions exactly like digital code:
Richard Dawkins Opens Mouth, Inserts Foot - video
http://www.evolutionnews.org/2010/06/richard_dawkins_opens_mouth_in035861.html
The Digital Code of DNA - 2003 - Leroy Hood & David Galas
Excerpt: The discovery of the structure of DNA transformed biology profoundly, catalysing the sequencing of the human genome and engendering a new view of biology as an information science.
http://www.nature.com/nature/journal/v421/n6921/full/nature01410.html
Every Bit Digital DNA’s Programming Really Bugs Some ID Critics - March 2010
Excerpt: In 2003 renowned biologist Leroy Hood and biotech guru David Galas authored a review article in the world’s leading scientific journal, Nature, titled, “The digital code of DNA.”,,, MIT Professor of Mechanical Engineering Seth Lloyd (no friend of ID) likewise eloquently explains why DNA has a “digital” nature: "It’s been known since the structure of DNA was elucidated that DNA is very digital. There are four possible base pairs per site, two bits per site, three and a half billion sites, seven billion bits of information in the human DNA. There’s a very recognizable digital code of the kind that electrical engineers rediscovered in the 1950s that maps the codes for sequences of DNA onto expressions of proteins."
http://www.salvomag.com/new/articles/salvo12/12luskin2.php
Stephen C. Meyer - Signature In The Cell:
"DNA functions like a software program," "We know from experience that software comes from programmers. Information--whether inscribed in hieroglyphics, written in a book or encoded in a radio signal--always arises from an intelligent source. So the discovery of digital code in DNA provides evidence that the information in DNA also had an intelligent source."
http://www.evolutionnews.org/2009/07/leading_advocate_of_intelligen.html
Extreme Software Design In Cells - Stephen Meyer - video
http://www.metacafe.com/watch/5495397/
Upright Biped Replies to Dr. Moran on “Information” - December 2011
Excerpt: 'a fair reading suggests that the information transfer in the genome shouldn’t be expected to adhere to the qualities of other forms of information transfer. But as it turns out, it faithfully follows the same physical dynamics as any other form of recorded information.'
http://www.uncommondescent.com/intelligent-design/upright-biped-replies-to-dr-moran-on-information/
Three Subsets of Sequence Complexity and Their Relevance to Biopolymeric Information - David L. Abel and Jack T. Trevors - Theoretical Biology & Medical Modelling, Vol. 2, 11 August 2005, page 8
"No man-made program comes close to the technical brilliance of even Mycoplasmal genetic algorithms. Mycoplasmas are the simplest known organism with the smallest known genome, to date. How was its genome and other living organisms' genomes programmed?"
http://www.biomedcentral.com/content/pdf/1742-4682-2-29.pdf
Human DNA is like a computer program but far, far more advanced than any software we've ever created.
Bill Gates, The Road Ahead, 1996, p. 188
Bill Gates, in recognizing the superiority found in Genetic Coding compared to the best computer coding we now have, has now funded research into this area:
Welcome to CoSBi - (Computational and Systems Biology)
Excerpt from early 2010 (the following heading is now changed on the site): Biological systems are the most parallel systems ever studied and we hope to use our better understanding of how living systems handle information to design new computational paradigms, programming languages and software development environments. The net result would be the design and implementation of better applications firmly grounded on new computational, massively parallel paradigms in many different areas.
http://www.cosbi.eu/index.php/component/content/article/171
Programming of Life - Biological Computers - video
http://www.youtube.com/user/Programmingoflife#p/c/AFDF33F11E2FB840/5/hRooe6ehrPs
The Coding Found In DNA Surpasses Man's Ability To Code - Stephen Meyer - video
http://www.metacafe.com/watch/4050638
Life Leads the Way to Invention - Feb. 2010
Excerpt: a cell is 10,000 times more energy-efficient than a transistor. “ In one second, a cell performs about 10 million energy-consuming chemical reactions, which altogether require about one picowatt (one millionth millionth of a watt) of power.” This and other amazing facts lead to an obvious conclusion: inventors ought to look to life for ideas.,,, Essentially, cells may be viewed as circuits that use molecules, ions, proteins and DNA instead of electrons and transistors. That analogy suggests that it should be possible to build electronic chips – what S
Youtube results:
95:35
Introduction to Probability and Statistics 131A. Lecture 10. Survey Sampling
Recorded July 15, 2013. For more information and access to courses, lectures, and teaching...
published: 15 Jul 2013
author: UCIrvineOCW
Introduction to Probability and Statistics 131A. Lecture 10. Survey Sampling
Introduction to Probability and Statistics 131A. Lecture 10. Survey Sampling
Recorded July 15, 2013. For more information and access to courses, lectures, and teaching material, please visit the official UC Irvine OpenCourseWare websi...- published: 15 Jul 2013
- views: 107
- author: UCIrvineOCW
55:57
Mod-01 Lec-05 Review of Probability and Statistics - I
Six Sigma by Dr. T. P. Bagchi , Department of Management, IIT Kharagpur. For more details ...
published: 02 Jan 2012
author: nptelhrd
Mod-01 Lec-05 Review of Probability and Statistics - I
Mod-01 Lec-05 Review of Probability and Statistics - I
Six Sigma by Dr. T. P. Bagchi , Department of Management, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in.- published: 02 Jan 2012
- views: 3195
- author: nptelhrd
69:14
Introduction to Probability and Statistics 131A. Lecture 15. Simple Random Sampling
Recorded on July 26, 2013. For more information and access to courses, lectures, and teach...
published: 26 Jul 2013
author: UCIrvineOCW
Introduction to Probability and Statistics 131A. Lecture 15. Simple Random Sampling
Introduction to Probability and Statistics 131A. Lecture 15. Simple Random Sampling
Recorded on July 26, 2013. For more information and access to courses, lectures, and teaching material, please visit the official UC Irvine OpenCourseWare we...- published: 26 Jul 2013
- views: 89
- author: UCIrvineOCW
56:33
Mod-01 Lec-08 Review of Probability and Statistics - IV
Six Sigma by Dr. T. P. Bagchi , Department of Management, IIT Kharagpur. For more details ...
published: 02 Jan 2012
author: nptelhrd
Mod-01 Lec-08 Review of Probability and Statistics - IV
Mod-01 Lec-08 Review of Probability and Statistics - IV
Six Sigma by Dr. T. P. Bagchi , Department of Management, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in.- published: 02 Jan 2012
- views: 1702
- author: nptelhrd