课程信息
4.3
97 个评分
16 个审阅
专项课程

第 4 门课程(共 5 门),位于

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为9 小时

建议:10 hours/week...
可选语言

英语(English)

字幕:英语(English)...
专项课程

第 4 门课程(共 5 门),位于

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为9 小时

建议:10 hours/week...
可选语言

英语(English)

字幕:英语(English)...

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 4 分钟

Preface

...
Reading
1 个视频(共 4 分钟)
2
完成时间(小时)
完成时间为 1 小时

Matrix Factorization (Part 1)

This is a two-part, two-week module on matrix factorization recommender techniques. It includes an assignment and quiz (both due in the second week), and an honors assignment (also due in the second week). Please pace yourself carefully -- it will be difficult to finish in two weeks unless you start the assignments during the first week. ...
Reading
5 个视频(共 70 分钟), 1 个阅读材料
Video5 个视频
Singular Value Decomposition17分钟
Gradient Descent Techniques17分钟
Deriving FunkSVD11分钟
Probabilistic Matrix Factorization10分钟
Reading1 个阅读材料
On Folding-In with Gradient Descent10分钟
3
完成时间(小时)
完成时间为 4 小时

Matrix Factorization (Part 2)

...
Reading
2 个视频(共 15 分钟), 2 个阅读材料, 6 个测验
Video2 个视频
Programming Matrix Factorization6分钟
Reading2 个阅读材料
Assignment Instructions10分钟
Intro - Programming Matrix Factorization10分钟
Quiz5 个练习
Matrix Factorization Assignment Part l10分钟
Matrix Factorization Assignment Part ll10分钟
Matrix Factorization Assignment Part lll10分钟
Matrix Factorization Quiz8分钟
SVD Programming Eval Quiz6分钟
4
完成时间(小时)
完成时间为 2 小时

Hybrid Recommenders

This is a three-part, two-week module on hybrid and machine learning recommendaton algorithms and advanced recommender techniques. It includes a quiz (due in the second week), and an honors assignment (also due in the second week). Please pace yourself carefully -- it will be difficult to finish the honors track in two weeks unless you start the assignments during the first week. ...
Reading
6 个视频(共 96 分钟)
Video6 个视频
Hybrids with Robin Burke16分钟
Hybridization through Matrix Factorization15分钟
Matrix Factorization Hybrids with George Karypis17分钟
Interview with Arindam Banerjee15分钟
Interview with Yehuda Koren22分钟
4.3
16 个审阅Chevron Right

热门审阅

创建者 SKDec 5th 2017

Awesome course especially for those doing Ph.D in recommender systems

讲师

Avatar

Michael D. Ekstrand

Assistant Professor
Dept. of Computer Science, Boise State University
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Joseph A Konstan

Distinguished McKnight Professor and Distinguished University Teaching Professor
Computer Science and Engineering

关于 University of Minnesota

The University of Minnesota is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation’s most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations....

关于 Recommender Systems 专项课程

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....
Recommender Systems

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