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Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model.
Using MATLAB, engineers and other domain experts have deployed thousands of applications for predictive maintenance, sensor analytics, finance, and communication electronics.
In this hands-on workshop, you will use MATLAB to:
Learn the fundamentals of machine learning and understand terms like “supervised learning”, “feature extraction”, and “hyperparameter tuning”
Build and evaluate machine learning models for classification and regression
Perform automatic hyperparameter tuning and feature selection to optimize model performance
Apply signal processing and feature extraction techniques