This class is focused on designing and implementing ML Recommendation Systems that can suggest relevant items to users. You'll learn the primary components of a recommendation system, including candidate generation, scoring, and ranking. Furthermore, you'll experiment with matrix factorization and softmax to develop a simple recommendation system.
About Recommendation Systems
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