Get Apache Spark Machine Learning Cookbook PDF

By Siamak Amirghodsi

ISBN-10: 1783551607

ISBN-13: 9781783551606

Over eighty recipes to simplify computing device studying version implementations with Spark

About This Book

  • Solve the daily difficulties of information technology with Spark
  • This targeted cookbook contains intriguing and intuitive numerical recipes
  • Optimize your paintings via buying, cleansing, interpreting, predicting, and visualizing your data

Who This publication Is For

This ebook is for Scala builders with a reasonably stable publicity to and knowing of laptop studying recommendations, yet lack sensible implementations with Spark. an outstanding wisdom of desktop studying algorithms is believed, in addition to hands-on event of imposing ML algorithms with Scala. although, you don't need to be familiar with the Spark ML libraries and ecosystem.

What you'll Learn

  • Get to grasp how Scala and Spark cross hand-in-hand for builders whilst constructing ML platforms with Spark
  • Build a advice engine that scales with Spark
  • Find out how you can construct unsupervised clustering structures to categorise info in Spark
  • Build laptop studying structures with the choice Tree and Ensemble versions in Spark
  • Deal with the curse of high-dimensionality in monstrous info utilizing Spark
  • Implement textual content analytics for se's in Spark
  • Streaming computer studying approach implementation utilizing Spark

In Detail

Machine studying goals to extract wisdom from facts, counting on primary suggestions in machine technological know-how, information, likelihood, and optimization. studying approximately algorithms permits a variety of functions, from daily initiatives comparable to product thoughts and junk mail filtering to bleeding part functions equivalent to self-driving automobiles and customized medication. you'll achieve hands-on event of utilising those rules utilizing Apache Spark, a cluster computing method like minded for large-scale desktop studying tasks.

This publication starts off with a short review of establishing the required IDEs to facilitate the execution of code examples that might be lined. It additionally highlights a few key concerns builders face whereas puzzling over Scala for computing device studying and through the swap over to Spark. We development through uncovering a few of the Spark APIs and the implementation of ML algorithms with constructing class platforms, suggestion engines, clustering and studying structures. in the direction of the ultimate chapters, we’ll specialize in development high-end purposes and clarify quite a few unsupervised methodologies and demanding situations to take on whilst imposing with huge info ML systems.

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Apache Spark Machine Learning Cookbook by Siamak Amirghodsi

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