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University of Minnesota

Recommender Systems Capstone

University of Minnesota via Coursera

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
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.

Taught by

Michael D. Ekstrand and Joseph A Konstan

Reviews

4.1 rating at Coursera based on 29 ratings

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