UMN - Recommender Systems Capstone
- Offered byCoursera
Recommender Systems Capstone at Coursera Overview
Recommender Systems Capstone
at Coursera
Duration | 3 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
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
Recommender Systems Capstone at Coursera Admission Process
Recommender Systems Capstone
at Coursera
Important Dates
May 25, 2024
Course Commencement Date
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Recommender Systems Capstone
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