Automated Machine Learning with MATLAB

Get an overview of Automated Machine Learning 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

Learn more about Automated Machine Learning: https://bit.ly/3s5a2DK