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.

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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