Recommendation Systems on Google Cloud

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Grab it

In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.

Syllabus

Welcome to Recommendation Systems on Google Cloud

This module previews the topics covered in the course.

Recommendation Systems Overview

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

Content-Based Recommendation Systems

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.

Collaborative Filtering Recommendations Systems

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.