Learn how to get started using machine learning tools to detect patterns and build predictive models from your datasets. In this webinar, you will learn about several machine learning techniques available in MATLAB and how to quickly explore your data, evaluate machine learning algorithms, compare the results, and apply the best machine learning for your problem. Highlights include unsupervised and supervised machine learning techniques including: K-means and other clustering tools Neural Networks Decision trees and ensemble learning Naïve Bayes Classification Linear, logistic and nonlinear regression 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.

• published: 05 Nov 2015
• views: 1281