Course
Skills
Recommendation Systems with TensorFlow on GCP
In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
What you'll learn
In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
Table of contents
Recommendation Systems Overview
34mins
Content-Based Recommendation Systems
74mins
- Content-Based Recommendation Systems 2m
- Similarity Measures 3m
- Building a User Vector 4m
- Making Recommendations Using a User Vector 2m
- Making Recommendations for Many Users 7m
- Lab intro: Create a Content-Based Recommendation System 0m
- Lab: Content-Based Filtering by Hand 0m
- Lab Solution:Create a Content-Based Recommendation System 14m
- Using Neural Networks for Content-Based Recommendation Systems 4m
- Lab Intro: Create a Content-Based Recommendation System Using a Neural Network 1m
- Lab: Content-Based Filtering using Neural Networks 0m
- Lab Solution:Create a Content-Based Recommendation System Using a Neural Network 37m
COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS
146mins
- Types of User Feedback Data 7m
- Embedding Users and Items 13m
- Factorization Approaches 7m
- The ALS Algorithm 5m
- Preparing Input Data for ALS 6m
- Creating Sparse Tensors For Efficient WALS Input 3m
- Instantiating a WALS Estimator:From Input to Estimator 5m
- Instantiating a WAL Estimator:Decoding TFRecords 4m
- Instantiating a WALS Estimator:Recovering Keys 13m
- Instantiating a WALS Estimator:Training and Prediction 6m
- Lab Intro:Collaborative Filtering with Google Analytics Data 1m
- Lab: Collaborative Filtering on Google Analytics data 0m
- Lab Solution:Collaborative Filtering with Google Analytics Data 44m
- Issues with Collaborative Filtering 4m
- Productionized WALS Demo 22m
- Cold Starts 6m
Neural Networks for Recommendation Systems
97mins
- Hybrid Recommendation Systems 15m
- Lab:Designing a Hybrid Recommendation System 6m
- Lab:Designing a Hybrid Collaborative Filtering Recommendation System 4m
- Lab:Designing a Hybrid Knowledge-based Recommendation System 5m
- Lab Intro: Building a Neural Network Hybrid Recommendation System 0m
- Lab: Neural network hybrid recommendation system on Google Analytics 0m
- Lab Solution:Building a Neural Network Hybrid Recommendation System 35m
- Context-Aware Recommendation Systems 8m
- Context-Aware Algorithms 5m
- Contextual Postfiltering 3m
- Modeling Using Context-Aware Algorithms 5m
- YouTube Recommendation System Case Study:Overview 3m
- YouTube Recommendation System Case Study:Candidate Generation 3m
- YouTube Recommendation System Case Study:Ranking 3m
- Summary 2m
Building an End-to-End Recommendation System
49mins
- Introduction 4m
- Architecture Overview 3m
- Cloud Composer Overview 16m
- Cloud Composer:DAGs 5m
- Cloud Composer:Operators for ML 9m
- Cloud Composer:Scheduling 2m
- Cloud Composer:Triggering Workflows with Cloud Functions 4m
- Cloud Composer:Monitoring and Logging 5m
- Lab Intro: End-to-End Recommendation System 1m
- Lab: End to End Recommendation System 0m
Summary
8mins
