Coursera - Recommender Systems (University of Minnesota)

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Coursera - Recommender Systems (University of Minnesota)
WEBRip | English | MP4 + PDF slides | 960 x 540 | AVC ~362 kbps | 25 fps
AAC | 128 Kbps | 48.0 KHz | 2 channels | Subs: English (.srt) | 17:05:56 | 1.98 GB
Genre: eLearning Video / Evaluation, Factorization, Collaboration
Master Recommender Systems. Learn to design, build, and evaluate recommender systems for commerce and content.

Master Recommender Systems. Learn to design, build, and evaluate recommender systems for commerce and content.
This Specialization covers all the fundamental techniques in recommender systems, from non-personalized and project-association recommenders through content-based and collaborative techniques. Designed to serve both the data mining expert and the data literate marketing professional, the courses offer interactive, spreadsheet-based exercises to master different algorithms along with an honors track where learners can go into greater depth using the LensKit open source toolkit. A Capstone Project brings together the course material with a realistic recommender design and analysis project.














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