In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
Recommendation Systems on Google Cloud
Recommendation Systems on Google Cloud
This course is part of Advanced Machine Learning on Google Cloud Specialization
Instructor: Google Cloud Training
Sponsored by Louisiana Workforce Commission
19,088 already enrolled
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
Add to your LinkedIn profile
Assessments
5 assignments
Taught in English
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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.
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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)Offered by
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4.5
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Showing 3 of 476
RK
5
Reviewed on May 24, 2020
Composer component takes too long to initiate. Almost more than 25 minutes. Please fix it.
RS
5
Reviewed on Apr 18, 2020
It is a wonderful course, to learn about the practical implementation of recommendation systems on Google Cloud Platform.
AB
5
Reviewed on Dec 10, 2020
Had a great experience and learned a lot except some of the labs in the course are misplaced.
Recommended if you're interested in Data Science
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