Recommendation Systems with TensorFlow on GCP 

Introduction

Getting Started with Google Cloud Platform and Qwiklabs

Introduction

Types of Recommendation Systems

Content-Based or Collaborative

Recommendation System Pitfalls

Discussion

How to Send Feedback

Recommendation Systems Overview Quiz

Content-Based Recommendation Systems

Similarity Measures

Building a User Vector

Making Recommendations Using a User Vector

Making Recommendations for Many Users

Lab intro: Create a Content-Based Recommendation System

Lab Solution: Create a Content-Based Recommendation System

Using Neural Networks for Content-Based Recommendation Systems

Lab Intro: Create a Content-Based Recommendation System Using a Neural Network

Lab Solution: Create a Content-Based Recommendation System Using a Neural Network

Content-Based Recommendation Systems Quiz

Types of User Feedback Data

Embedding Users and Items

Factorization Approaches

The ALS Algorithm

Preparing Input Data for ALS

Creating Sparse Tensors For Efficient WALS Input

Instantiating a WALS Estimator: From Input to Estimator

Instantiating a WAL Estimator: Decoding TFRecords

Instantiating a WALS Estimator: Recovering Keys

Instantiating a WALS Estimator: Training and Prediction

Lab Intro: Collaborative Filtering with Google Analytics Data

Lab Solution: Collaborative Filtering with Google Analytics Data

Issues with Collaborative Filtering

Productionized WALS Demo

Cold Starts

Collaborative Filtering Quiz

Neural Networks for Recommendation Systems

Hybrid Recommendation Systems

Lab: Designing a Hybrid Recommendation System

Lab: Designing a Hybrid Collaborative Filtering Recommendation System

Lab: Designing a Hybrid Knowledge-based Recommendation System

Lab Intro: Building a Neural Network Hybrid Recommendation System

Lab Solution: Building a Neural Network Hybrid Recommendation System

Context-Aware Recommendation Systems

Context-Aware Algorithms

Contextual Postfiltering

Modeling Using Context-Aware Algorithms

YouTube Recommendation System Case Study: Overview

YouTube Recommendation System Case Study: Candidate Generation

YouTube Recommendation System Case Study: Ranking

Summary

Neural Networks for Recommendations Quiz

Introduction

Architecture Overview

Cloud Composer Overview

Cloud Composer: DAGs

Cloud Composer: Operators for ML

Cloud Composer: Scheduling

Cloud Composer: Triggering Workflows with Cloud Functions

Cloud Composer: Monitoring and Logging

Lab Intro: End-to-End Recommendation System

Cloud Composer Module Quiz

Course Summary

Specialization Summary