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MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
Course 4 of 5 in the Recommender Systems Specialization.
Syllabus
WEEK 1
Preface
WEEK 2
Matrix Factorization (Part 1)
This is a two-part, two-week module on matrix factorization recommender techniques. It includes an assignment and quiz (both due in the second week), and an honors assignment (also due in the second week). Please pace yourself carefully -- it will be difficult to finish in two weeks unless you start the assignments during the first week.
WEEK 3
Matrix Factorization (Part 2)
WEEK 4
Hybrid Recommenders
This is a three-part, two-week module on hybrid and machine learning recommendation algorithms and advanced recommender techniques. It includes a quiz (due in the second week), and an honors assignment (also due in the second week). Please pace yourself carefully -- it will be difficult to finish the honors track in two weeks unless you start the assignments during the first week.
WEEK 5
Advanced Machine Learning
WEEK 6
Advanced Topics
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.