Stefan Duprey, MathWorks
Learn how to get started using machine learning tools to detect patterns and build predictive models from your datasets. In this session you’ll learn when, why, and how to select from a variety of machine learning methods for:
Techniques include K-means clustering, discriminant analysis, decision trees including boosting and bagging, neural networks, and linear, logistic, and nonlinear regression.
Recorded: 20 March 2013