Recommendation Systems on Google Cloud

This course is part of Advanced Machine Learning on Google Cloud Specialization

Instructor: Google Cloud Training

Access provided by Skills Development Fund

20,254 already enrolled

7 modules

Gain insight into a topic and learn the fundamentals.

484 reviews

Advanced level

Designed for those already in the industry

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

83%

Most learners liked this course

7 modules

Gain insight into a topic and learn the fundamentals.

484 reviews

Advanced level

Designed for those already in the industry

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

83%

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.

Skills you'll gain

Details to know

Shareable certificate

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Assessments

5 assignments

Taught in English

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This course is part of the Advanced Machine Learning on Google Cloud Specialization

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There are 7 modules in this course

In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.

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

5 videosTotal 20 minutes

Introduction6 minutes
Types of Recommendation Systems3 minutes
Content-Based or Collaborative6 minutes
Recommendation System Pitfalls4 minutes
Discussion2 minutes

1 readingTotal 10 minutes

Recommendation Systems Overview10 minutes

1 assignmentTotal 4 minutes

Recommendation Systems Overview4 minutes

1 discussion promptTotal 20 minutes

Designing a Recommendation System20 minutes

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

8 videos1 reading1 assignment1 app item1 plugin

8 videosTotal 24 minutes

Content-Based Recommendation Systems2 minutes
Similarity Measures3 minutes
Building a User Vector4 minutes
Making Recommendations Using a User Vector2 minutes
Making Recommendations for Many Users7 minutes
Lab intro: Create a Content-Based Recommendation System0 minutes
Using Neural Networks for Content-Based Recommendation Systems4 minutes
Summary3 minutes

1 readingTotal 10 minutes

Content-Based Recommendation Systems10 minutes

1 assignmentTotal 4 minutes

Content-Based Recommendation Systems4 minutes

1 app itemTotal 90 minutes

Lab: Content-Based Filtering by Hand90 minutes

1 pluginTotal 15 minutes

Accessing and completing labs15 minutes

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

13 videosTotal 97 minutes

Types of User Feedback Data7 minutes
Embedding Users and Items13 minutes
Factorization Approaches7 minutes
The ALS Algorithm5 minutes
Preparing Input Data for ALS6 minutes
Creating Sparse Tensors For Efficient WALS Input3 minutes
Instantiating a WALS Estimator: From Input to Estimator5 minutes
Instantiating a WAL Estimator: Decoding TFRecords4 minutes
Instantiating a WALS Estimator: Recovering Keys13 minutes
Instantiating a WALS Estimator: Training and Prediction6 minutes
Lab Intro: Collaborative Filtering with Google Analytics Data1 minute
Issues with Collaborative Filtering22 minutes
Cold Starts6 minutes

1 readingTotal 10 minutes

Collaborative Filtering Recommendations Systems10 minutes

1 assignmentTotal 2 minutes

Collaborative Filtering Recommendations Systems2 minutes

1 app itemTotal 90 minutes

Lab: Collaborative filtering on Google Analytics Data90 minutes

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

13 videosTotal 62 minutes

Hybrid Recommendation Systems15 minutes
Lab Intro: Designing a Hybrid Recommendation System6 minutes
Lab Intro: Designing a Hybrid Collaborative Filtering Recommendation System4 minutes
Lab Intro: Designing a Hybrid Knowledge-based Recommendation System5 minutes
Lab Intro: Building a Neural Network Hybrid Recommendation System0 minutes
Context-Aware Recommendation Systems8 minutes
Context-Aware Algorithms5 minutes
Contextual Postfiltering3 minutes
Modeling Using Context-Aware Algorithms5 minutes
YouTube Recommendation System Case Study: Overview3 minutes
YouTube Recommendation System Case Study: Candidate Generation3 minutes
YouTube Recommendation System Case Study: Ranking3 minutes
Summary2 minutes

1 readingTotal 10 minutes

Neural Networks for Recommendation Systems10 minutes

1 assignment

Neural Networks for Recommendations0 minutes

1 app itemTotal 90 minutes

Lab: ML on GCP - Hybrid Recommendations with the MovieLens Dataset90 minutes

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

10 videosTotal 68 minutes

Introduction to module2 minutes
Introduction to Reinforcement Learning11 minutes
The reinforcement learning framework and workflow17 minutes
Model-based and model-free reinforcement learning5 minutes
Value-based reinforcement learning12 minutes
Policy-based reinforcement learning5 minutes
Contextual bandits7 minutes
Applications of reinforcement learning8 minutes
Lab Intro1 minute
Lab Review0 minutes

1 readingTotal 10 minutes

Reinforcement Learning10 minutes

1 assignmentTotal 10 minutes

Reinforcement Learning10 minutes

1 app itemTotal 120 minutes

Lab: Applying Reinforcement Learning120 minutes

This module reviews the topics explored in this course.

What's included

2 videos1 reading

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(41 ratings)

Google Cloud Training

Google Cloud

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Reviewed on Apr 8, 2020

kudos to team gcp, practical guide to implementing a recommendation system and helpful overview of gcp tml ools

Reviewed on Aug 19, 2019

I enjoyed this course too much, usually every company wants a recommended system, but the courses or examples available on the web are few. Very well explained many theoretical aspects.