Recommendation Systems on Google Cloud
Master advanced recommendation system development using content-based, collaborative filtering, and hybrid approaches on Google Cloud.
Master advanced recommendation system development using content-based, collaborative filtering, and hybrid approaches on Google Cloud.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Advanced Machine Learning on Google Cloud Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Develop content-based recommendation engines
Implement collaborative filtering systems
Create hybrid recommendations with embeddings
Apply reinforcement learning to recommendations
Design context-aware recommendation systems
Skills you'll gain
This course includes:
3.2 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This advanced course teaches the development of sophisticated recommendation systems using Google Cloud. Students learn to implement content-based, collaborative filtering, and hybrid recommendation engines. The curriculum covers key concepts including similarity measures, matrix factorization, neural network approaches, and reinforcement learning for contextual bandits. Real-world case studies and hands-on labs provide practical experience with building production-ready recommendation systems.
Welcome to Recommendation Systems on Google Cloud
Module 1 · 18 Minutes to complete
Recommendation Systems Overview
Module 2 · 53 Minutes to complete
Content-Based Recommendation Systems
Module 3 · 2 Hours to complete
Collaborative Filtering Recommendations Systems
Module 4 · 3 Hours to complete
Neural Networks for Recommendation Systems
Module 5 · 2 Hours to complete
Reinforcement Learning
Module 6 · 3 Hours to complete
Summary
Module 7 · 17 Minutes to complete
Instructor
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