Machine Learning Course – 5. Introduction to Feature Selection
A full university-level machine learning course – for free. New lectures every week.
Designed as a first course for engineers, program managers, and data professionals who want to learn: the details of important machine learning algorithms; professional model building; and design patterns for building practical machine learning systems.
This lecture covers:
Feature selection. Bag of words. Mutual Information. Accuracy Wrappers. Python feature selection pattern.
And you can view the entire course in this playlist: https://www.youtube.com/playlist?list=PLrQmbzbRJ5mwDinvDEJ5B-KDZlPM-sCYO
Learn more (and find slides for this lecture) at: www.livingmachinelearning.com/course.html
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