1 weeks (1-3 weeks of study, 3-5 hours per week)
University of Minnesota
Joseph A Konstan
Michael D. Ekstrand
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.
Lore delivers value at the intersection of learning, interests and skills.
Access learning options recommended by industry experts, professionals and thought leaders.
Quickly search, select and add learning options to your learning list.
Tell us more about yourself to access the latest learning options, curated just for you.