Using MATLAB for Machine Learning and Analytics

Jean-Philippe Villareal, Rachid Adarghal

MathWorks In this 20 minute presentation, you will get an overview of using the MATLAB environment to

address the complete workflow of data analysis: From data import, visualization and modelling, to

publishing and sharing. We will demonstrate several interactive machine learning techniques

available in MATLAB including:

• Neural Networks

• Discriminant Analysis

• Naive Bayes Classification

• Support Vector Machines

• Linear and non-linear regression

• Decision Trees

We will also touch upon handling large data and building robust deployable applications.