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- Level: Beginner
- Duration: 06h 42m 35s
- Release date: 2022-03-24
- Author: Google Cloud
- Provider: Pluralsight
Recommendation Systems with TensorFlow on Google Cloud
Description
Content
In this course, you'll 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.
- Recommendation Systems Overview30m
- Introduction00m
- Recommendation Systems00m
- Introduction09m
- Introduction06m
- Types of Recommendation Systems03m
- Content-Based or Collaborative06m
- Recommendation System Pitfalls04m
- Discussion02m
- Designing a Recommendation System00m
- Content-Based Recommendation Systems01h 14m
- Content-based Recommendation Systems00m
- Content-Based Recommendation Systems02m
- Similarity Measures03m
- Building a User Vector04m
- Making Recommendations Using a User Vector02m
- Making Recommendations for Many Users07m
- Lab intro:Create a Content-Based Recommendation System00m
- Lab: Content-Based Filtering by Hand00m
- Lab Solution:Create a Content-Based Recommendation System14m
- Using Neural Networks for Content-Based Recommendation Systems04m
- Lab Intro:Create a Content-Based Recommendation System Using a Neural Network01m
- Lab: Content-Based Filtering using Neural Networks00m
- Lab Solution:Create a Content-Based Recommendation System Using a Neural Network37m
- Collaborative Filtering Recommendation Systems02h 26m
- Collaborative Filtering00m
- Types of User Feedback Data07m
- Embedding Users and Items13m
- Factorization Approaches07m
- The ALS Algorithm05m
- Preparing Input Data for ALS06m
- Creating Sparse Tensors For Efficient WALS Input03m
- Instantiating a WALS Estimator:From Input to Estimator05m
- Instantiating a WAL Estimator:Decoding TFRecords04m
- Instantiating a WALS Estimator:Recovering Keys13m
- Instantiating a WALS Estimator:Training and Prediction06m
- Lab Intro:Collaborative Filtering with Google Analytics Data01m
- Lab: Collaborative Filtering on Google Analytics data00m
- Lab Solution:Collaborative Filtering with Google Analytics Data44m
- Issues with Collaborative Filtering04m
- Productionized WALS Demo22m
- Cold Starts06m
- Neural Networks for Recommendation Systems01h 37m
- Neural Networks for Recommendation Systems00m
- Hybrid Recommendation Systems15m
- Lab:Designing a Hybrid Recommendation System06m
- Lab:Designing a Hybrid Collaborative Filtering Recommendation System04m
- Lab:Designing a Hybrid Knowledge-based Recommendation System05m
- Lab Intro:Building a Neural Network Hybrid Recommendation System00m
- Lab: ML on GCP: Hybrid Recommendations with the MovieLens Dataset00m
- Lab Solution:Building a Neural Network Hybrid Recommendation System35m
- Context-Aware Recommendation Systems08m
- Context-Aware Algorithms05m
- Contextual Postfiltering03m
- Modeling Using Context-Aware Algorithms05m
- YouTube Recommendation System Case Study:Overview03m
- YouTube Recommendation System Case Study:Candidate Generation03m
- YouTube Recommendation System Case Study:Ranking03m
- Summary02m
- Building an End-to-End Recommendation System49m
- Building an End-to-End Recommendation System00m
- Introduction04m
- Architecture Overview03m
- Cloud Composer Overview16m
- Cloud Composer:DAGs05m
- Cloud Composer:Operators for ML09m
- Cloud Composer:Scheduling02m
- Cloud Composer:Triggering Workflows with Cloud Functions04m
- Cloud Composer:Monitoring and Logging05m
- Lab Intro:End-to-End Recommendation System01m
- Lab: End to End Recommendation System00m
- Summary08m
- Summary00m
- Course Summary 103m
- Course Summary 205m
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