This capstone project course for the Recommender Systems Specialization brings together everything you've learned about recommender systems algorithms and evaluation into a comprehensive recommender analysis and design project. You will be given a case study to complete where you have to select and justify the design of a recommender system through analysis of recommender goals and algorithm performance.
Recommender Systems Capstone
Recommender Systems Capstone
This course is part of Recommender Systems Specialization
Instructors: Michael D. Ekstrand
2,158 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.1
(29 reviews)
2 hours to complete
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
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This course is part of the Recommender Systems Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There is 1 module in this course
What's included
2 videos2 readings1 assignment2 peer reviews
Offered by
Recommended if you're interested in Machine Learning
University of Minnesota
EIT Digital
Sungkyunkwan University
University of Minnesota
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