University of Minnesota, Twin Cities - Recommender Systems Capstone
- Offered byCoursera
- Public/Government Institute
Recommender Systems Capstone at Coursera Overview
Recommender Systems Capstone
at Coursera
Duration | 3 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Recommender Systems Capstone
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
Recommender Systems Capstone at Coursera Highlights
Recommender Systems Capstone
at Coursera
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Recommender Systems Capstone at Coursera Course details
Recommender Systems Capstone
at Coursera
More about this course
- 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.
- Learners in the honors track will focus on experimental evaluation of the algorithms against medium sized datasets. The standard track will include a mix of provided results and spreadsheet exploration.
- Both groups will produce a capstone report documenting the analysis, the selected solution, and the justification for that solution.
Recommender Systems Capstone at Coursera Curriculum
Recommender Systems Capstone
at Coursera
Capstone Project
Capstone Course: Introduction
Capstone Wrap-Up
Capstone Assignment (all versions combined)
Thank you!
Certification for honors track
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