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Machine Learning with Spark

Machine Learning with Spark - Second Edition

By : Dua, Ghotra
3 (9)
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Machine Learning with Spark

Machine Learning with Spark

3 (9)
By: Dua, Ghotra

Overview of this book

This book will teach you about popular machine learning algorithms and their implementation. You will learn how various machine learning concepts are implemented in the context of Spark ML. You will start by installing Spark in a single and multinode cluster. Next you'll see how to execute Scala and Python based programs for Spark ML. Then we will take a few datasets and go deeper into clustering, classification, and regression. Toward the end, we will also cover text processing using Spark ML. Once you have learned the concepts, they can be applied to implement algorithms in either green-field implementations or to migrate existing systems to this new platform. You can migrate from Mahout or Scikit to use Spark ML. By the end of this book, you will acquire the skills to leverage Spark's features to create your own scalable machine learning applications and power a modern data-driven business.
Table of Contents (13 chapters)
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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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Machine Learning with Spark
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