Apache Spark 2.x Machine Learning Cookbook

Simplify machine learning model implementations with Spark

Apache Spark 2.x Machine Learning Cookbook

Siamak Amirghodsi et al.

Simplify machine learning model implementations with Spark
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Book Details

ISBN 139781783551606
Paperback666 pages

Book Description

Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. Learning about algorithms enables a wide range of applications, from everyday tasks such as product recommendations and spam filtering to cutting edge applications such as self-driving cars and personalized medicine. You will gain hands-on experience of applying these principles using Apache Spark, a resilient cluster computing system well suited for large-scale machine learning tasks.

This book begins with a quick overview of setting up the necessary IDEs to facilitate the execution of code examples that will be covered in various chapters. It also highlights some key issues developers face while working with machine learning algorithms on the Spark platform. We progress by uncovering the various Spark APIs and the implementation of ML algorithms with developing classification systems, recommendation engines, text analytics, clustering, and learning systems. Toward the final chapters, we’ll focus on building high-end applications and explain various unsupervised methodologies and challenges to tackle when implementing with big data ML systems.

Table of Contents

What You Will Learn

  • Get to know how Scala and Spark go hand-in-hand for developers when developing ML systems with Spark
  • Build a recommendation engine that scales with Spark
  • Find out how to build unsupervised clustering systems to classify data in Spark
  • Build machine learning systems with the Decision Tree and Ensemble models in Spark
  • Deal with the curse of high-dimensionality in big data using Spark
  • Implement Text analytics for Search Engines in Spark
  • Streaming Machine Learning System implementation using Spark

Authors

Table of Contents

Book Details

ISBN 139781783551606
Paperback666 pages
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