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8. Featurization in Machine Learning

Features are a critical part of machine learning. They are sometimes called descriptors or representations too. In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon. Choosing informative, discriminating and independent features is a crucial element of effective algorithms in pattern recognition, classification and regression. In this video, I cover the basics of features with examples from predicting height as well as the classic Boston housing price dataset. Check out the whole materials informatics series at    • Materials Informatics   with workbooks and course notes available at https://github.com/sp8rks/MaterialsIn...