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
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