課程信息
4.3
97 個評分
16 個審閱
專項課程

第 4 門課程(共 5 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為9 小時

建議:10 hours/week...
可選語言

英語(English)

字幕:英語(English)...
專項課程

第 4 門課程(共 5 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為9 小時

建議:10 hours/week...
可選語言

英語(English)

字幕:英語(English)...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 4 分鐘

Preface

...
Reading
1 個視頻(共 4 分鐘)
2
完成時間(小時)
完成時間為 1 小時

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 個視頻(共 70 分鐘), 1 個閱讀材料
Video5 個視頻
Singular Value Decomposition17分鐘
Gradient Descent Techniques17分鐘
Deriving FunkSVD11分鐘
Probabilistic Matrix Factorization10分鐘
Reading1 個閱讀材料
On Folding-In with Gradient Descent10分鐘
3
完成時間(小時)
完成時間為 4 小時

Matrix Factorization (Part 2)

...
Reading
2 個視頻(共 15 分鐘), 2 個閱讀材料, 6 個測驗
Video2 個視頻
Programming Matrix Factorization6分鐘
Reading2 個閱讀材料
Assignment Instructions10分鐘
Intro - Programming Matrix Factorization10分鐘
Quiz5 個練習
Matrix Factorization Assignment Part l10分鐘
Matrix Factorization Assignment Part ll10分鐘
Matrix Factorization Assignment Part lll10分鐘
Matrix Factorization Quiz8分鐘
SVD Programming Eval Quiz6分鐘
4
完成時間(小時)
完成時間為 2 小時

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 個視頻(共 96 分鐘)
Video6 個視頻
Hybrids with Robin Burke16分鐘
Hybridization through Matrix Factorization15分鐘
Matrix Factorization Hybrids with George Karypis17分鐘
Interview with Arindam Banerjee15分鐘
Interview with Yehuda Koren22分鐘
4.3
16 個審閱Chevron Right

熱門審閱

創建者 SKDec 5th 2017

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

講師

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

關於 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....

關於 Recommender Systems 專項課程

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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