Machine Learning Course - 4. Intro to Feature Engineering with Text

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 engineering. Binary, Categorical, and Numeric Features. Tokenizing. Bag of Words, N-grams, TF-IDF, Normalization, and the concept of embeddings. 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