University of Minnesota
Recommender Systems Specialization
University of Minnesota

Recommender Systems Specialization

Master recommender systems.. Learn to design, build, and evaluate recommender systems for commerce and content.

Joseph A Konstan
Michael D. Ekstrand

Instructors: Joseph A Konstan

19,362 already enrolled

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4.4

(704 reviews)

Intermediate level
Some related experience required
2 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.4

(704 reviews)

Intermediate level
Some related experience required
2 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Build recommendation systems

  • Implement collaborative filtering

  • Master spreadsheet based tools

  • Use project-association recommenders

Details to know

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Taught in English

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Specialization - 5 course series

What you'll learn

Nearest Neighbor Collaborative Filtering

Course 214 hours4.3 (304 ratings)

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Recommender Systems: Evaluation and Metrics

Course 37 hours4.4 (233 ratings)

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Matrix Factorization and Advanced Techniques

Course 415 hours4.3 (186 ratings)

What you'll learn

Skills you'll gain

Category: Summary Statistics
Category: Term Frequency Inverse Document Frequency (TF-IDF)
Category: Microsoft Excel
Category: Recommender Systems

Recommender Systems Capstone

Course 52 hours4.1 (29 ratings)

What you'll learn

Instructors

Joseph A Konstan
University of Minnesota
11 Courses209,185 learners
Michael D. Ekstrand
University of Minnesota
6 Courses109,003 learners

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