Machine Learning with MATLAB

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:

  • Clustering: segmenting data into natural subgroups
  • Classification: building a model to predict groups for new observations
  • Regression: building a predictive model from continuous observations

Techniques include K-means clustering, discriminant analysis, decision trees including boosting and bagging, neural networks, and linear, logistic, and nonlinear regression.

Product Focus

  • MATLAB

Recorded: 20 Mar 2013