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Learn Recommender Systems with free online courses and MOOCs from Duke University, University of California, San Diego , University of Minnesota, EIT Digital and other top universities around the world. Read reviews to decide if a class is right for you.
| Course Name | Start Date | Rating | |
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| AD | Kellogg Digital Marketing Strategies via EMERITUS | 9th December, 2020 |
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Java Programming: Build a Recommendation System
Coursera
3-6 hours a week
, 4 weeks long
3-6 hours a week
, 4 weeks long
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Deploying Machine Learning Models
Coursera
9 hours a week
, 5 weeks long
9 hours a week
, 5 weeks long
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Recommender Systems: Evaluation and Metrics
Coursera
7 hours worth of material
, 4 weeks long
7 hours worth of material
, 4 weeks long
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Introduction to Recommender Systems: Non-Personalized and Content-Based
Coursera
23 hours worth of material
, 4 weeks long
23 hours worth of material
, 4 weeks long
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Basic Recommender Systems
Coursera
12 hours worth of material
, 4 weeks long
12 hours worth of material
, 4 weeks long
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Recommender Systems
Coursera
Specialization
3 hours a week
, 22 weeks long
3 hours a week
, 22 weeks long
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Predictive Analytics and Data Mining
Coursera
24 hours worth of material
, 4 weeks long
24 hours worth of material
, 4 weeks long
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Recommender Systems Capstone
Coursera
3-5 hours a week
, 1 weeks long
3-5 hours a week
, 1 weeks long
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Introduction to Recommender Systems
Coursera
4-10 hours a week
, 8 weeks long
4-10 hours a week
, 8 weeks long
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Machine Learning: Recommender Systems & Dimensionality Reduction | ||
Get personalized course recommendations, track subjects and courses with reminders, and more.
Never Stop Learning!
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