About this Course

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Coursera Labs
Includes hands on learning projects.
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Advanced Level
Approx. 14 hours to complete
English

What you will learn

  • Devise a content-based recommendation engine.

  • Implement a collaborative filtering recommendation engine.

  • Build a hybrid recommendation engine with user and content embeddings.

  • Use reinforcement learning techniques for contextual bandits in the context of recommendations.

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Advanced Level
Approx. 14 hours to complete
English

Instructor

Offered by

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Google Cloud

Syllabus - What you will learn from this course

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Week1
Week 1
19 minutes to complete

Welcome to Recommendation Systems on Google Cloud

19 minutes to complete
1 video (Total 9 min), 1 reading
1 hour to complete

Recommendation Systems Overview

1 hour to complete
5 videos (Total 20 min), 1 reading, 1 quiz
4 hours to complete

Content-Based Recommendation Systems

4 hours to complete
10 videos (Total 30 min), 1 reading, 3 quizzes
3 hours to complete

Collaborative Filtering Recommendations Systems

3 hours to complete
13 videos (Total 97 min), 1 reading, 2 quizzes
Week2
Week 2
3 hours to complete

Neural Networks for Recommendation Systems

3 hours to complete
13 videos (Total 62 min), 1 reading, 2 quizzes
3 hours to complete

Reinforcement Learning

3 hours to complete
10 videos (Total 68 min), 1 reading, 2 quizzes
18 minutes to complete

Summary

18 minutes to complete
2 videos (Total 8 min), 1 reading

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