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Automated Machine Learning (AutoML) with MATLAB

 Get an overview of AutoML and how it simplifies the machine learning workflow. Learn how to build optimized predictive models in three steps:

- Apply wavelet scattering to obtain features from signal or image data without requiring signal processing expertise. - Use automated feature selection to identify a small subset of features, which helps prevent overfitting, reduces model size, and speeds up training. - Choose automated model selection to deliver an optimized model in one step with built-in hyperparameter optimization. The video demonstrates how to apply AutoML to build a classifier of human activity and use sensor data from mobile devices as input. Related Resources: - Learn more about AutoML: - Try the Heart Sound Classification demo: Related Products: - Statistics and Machine Learning Toolbox: - Wavelet Toolbox:

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