
This free, two-hour tutorial provides an interactive introduction to practical machine learning methods for classification problems.
Prerequisites: MATLAB Onramp or basic knowledge of MATLAB
Familiarize yourself with machine learning concepts and the course.
Build a simple model to perform a classification task.
Import data from multiple files.
Calculate features from raw signals.
Train and use machine learning models to make predictions.
Explore data and build predictive models.
Get started quickly using deep learning methods to perform image recognition.
Create custom visualizations and automate your data analysis tasks.