Monthly Subscription Starting at AED 99 + VAT
- Level Foundation
- المدة 3 ساعات hours
- الطبع بواسطة University of Minnesota
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Offered by
عن
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.الوحدات
Capstone Course
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2
Videos
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2
Readings
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2
PeerReview
2
Peer Review
- Capstone Project Parts I and II: Design, Measure
- Capstone Project Parts III and IV: Mix, Propose and Justify
2
Videos
- Capstone Course: Introduction
- Capstone Wrap-Up
2
Readings
- Capstone Assignment (all versions combined)
- Thank you!
Honors Track Submission and Certification
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1
Assignment
1
Assignment
- Certification for honors track
Auto Summary
Join the Recommender Systems Capstone course in Data Science & AI, led by Coursera. This comprehensive project draws together all your knowledge of recommender algorithms and evaluation. You'll design and justify a recommender system through an in-depth case study, with hands-on experimental evaluation for honors track learners. The 180-hour course offers both Starter and Professional subscription options and culminates in a detailed capstone report. Ideal for foundational learners aiming to master recommender systems.
Michael D. Ekstrand
Joseph A Konstan