Lecture 8: Feature engineering, selection, and regularization - Machine Learning for Engineers

This video is part of the "Artificial Intelligence and Machine Learning for Engineers" course offered at the University of California, Los Angeles (UCLA). This course introduces ML/AI theory and applications that are relevant to engineering, with a focus on practical machine learning for civil engineering. In this lecture, we focus on feature engineering, feature selection, feature scaling, and regularization (by LASSO). We discuss how to tune the regularization parameter to obtain the best balance between underfitting and overfitting.

[@muluhsenet7582]

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[@jonahkember9401]

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[@yangzhou5800]

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[@muluhsenet7582]

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[@Soldbutton]

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