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Recommendation Systems on Google Cloud

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Recommendation Systems on Google Cloud

18,920 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.5

(476 reviews)

Advanced level
Designed for those already in the industry
Flexible schedule
Approx. 13 hours
Learn at your own pace
82%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.5

(476 reviews)

Advanced level
Designed for those already in the industry
Flexible schedule
Approx. 13 hours
Learn at your own pace
82%
Most learners liked this course

What you'll 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.

Details to know

Shareable certificate

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Assessments

5 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Advanced Machine Learning on Google Cloud Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 7 modules in this course

This module previews the topics covered in the course.

What's included

1 video1 reading

This module defines what recommendation systems are, reviews the different types of recommendation systems, and discusses common problems that arise when developing recommendation systems.

What's included

5 videos1 reading1 assignment1 discussion prompt

This module demonstrates how to build a recommendation system using characteristics of the users and items and how to use Qwiklabs to complete each of your labs using Google Cloud.

What's included

9 videos1 reading1 assignment1 app item

This module shows how the data of the interactions between users and items from many different users can be combined to improve the quality of predictions.

What's included

13 videos1 reading1 assignment1 app item

This module shows how various recommendation systems can be combined as part of a hybrid approach.

What's included

13 videos1 reading1 assignment1 app item

This module presents the goals of reinforcement learning and shows where reinforcement learning fits in machine learning.

What's included

10 videos1 reading1 assignment1 app item

This module reviews the topics explored in this course.

What's included

2 videos1 reading

Instructor

Instructor ratings
4.5 (41 ratings)
Google Cloud Training
Google Cloud
1,664 Courses2,750,269 learners

Offered by

Google Cloud

Recommended if you're interested in Machine Learning

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4.5

476 reviews

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RS
5

Reviewed on Apr 18, 2020

RL
5

Reviewed on May 2, 2020

AB
5

Reviewed on Dec 10, 2020

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