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.

For details and registration, go to https://mathworksmeeting.webex.com/mathworksmeeting/j.php?RGID=rc1cb9cfab0ff2cf1cff1ff5b5a33e32e