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Machine Learning with Spark. - Second Edition

You're reading from  Machine Learning with Spark. - Second Edition

Product type Book
Published in Apr 2017
Publisher Packt
ISBN-13 9781785889936
Pages 532 pages
Edition 2nd Edition
Languages
Authors (2):
Rajdeep Dua Rajdeep Dua
Profile icon Rajdeep Dua
Manpreet Singh Ghotra Manpreet Singh Ghotra
Profile icon Manpreet Singh Ghotra
View More author details

Table of Contents (13) Chapters

Preface 1. Getting Up and Running with Spark 2. Math for Machine Learning 3. Designing a Machine Learning System 4. Obtaining, Processing, and Preparing Data with Spark 5. Building a Recommendation Engine with Spark 6. Building a Classification Model with Spark 7. Building a Regression Model with Spark 8. Building a Clustering Model with Spark 9. Dimensionality Reduction with Spark 10. Advanced Text Processing with Spark 11. Real-Time Machine Learning with Spark Streaming 12. Pipeline APIs for Spark ML

An architecture for a machine learning system

Now that we have explored how our machine learning system might work in the context of MovieStream, we can outline a possible architecture for our system:

MovieStream's future architecture

As we can see, our system incorporates the machine learning pipeline outlined in the preceding diagram; this system also includes:

  • Collecting data about users, their behavior, and our content titles
  • Transforming this data into features
  • Training our models, including our training-testing and model-selection phases
  • Deploying the trained models to both our live model-serving system as well as using these models for offline processes
  • Feeding back the model results into the MovieStream website through recommendation and targeting pages
  • Feeding back the model results into MovieStream's personalized marketing channels
  • Using the offline models to provide tools to MovieStream&apos...
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