AI with MATLAB: Part 1 - Machine Learning with Signals

Machine learning (ML) algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. In this hands-on workshop, you will use MATLAB to apply ML techniques to Signal data. Topics include: fundamentals of ML (supervised learning, feature extraction, and hyperparameter tuning); building and evaluating ML models for classification and regression of signals; automatic hyperparameter tuning and feature selection to optimize model performance; and, deploying ML models.