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Recommender Systems Practical Guide by Yogesh Yadav is a document available to read on EtoBox.

The document is a practical file from Maharshi Dayanand University detailing recommender systems, including their introduction, types, history, prerequisites for building them, and basics of Python. It covers various aspects such as collaborative filtering, content-based filtering, and hybrid systems, along with advantages and disadvantages of recommender systems. The document serves as a comprehensive guide for students in AI & ML, providing insights into the development and application of recommender syst

Author
Yogesh Yadav
Language
EN