Recommender Systems Specialization

This comprehensive specialization covers the fundamental techniques of recommender systems, from non-personalized and content-based methods to collaborative filtering and advanced matrix factorization techniques. It is designed for both data mining experts and marketing professionals who want to gain a deeper understanding of these systems. The specialization includes a capstone project where you apply your knowledge to a real-world case study.