Download Apache Spark Machine Learning Cookbook by Siamak Amirghodsi PDF

By Siamak Amirghodsi

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

About This Book

  • Solve the daily difficulties of information technological know-how with Spark
  • This special cookbook involves fascinating and intuitive numerical recipes
  • Optimize your paintings by way of buying, cleansing, studying, predicting, and visualizing your data

Who This publication Is For

This ebook is for Scala builders with a pretty sturdy publicity to and figuring out of desktop studying thoughts, yet lack functional implementations with Spark. a superior wisdom of desktop studying algorithms is thought, in addition to hands-on adventure of imposing ML algorithms with Scala. although, you don't want to be familiar with the Spark ML libraries and ecosystem.

What you are going to Learn

  • Get to grasp how Scala and Spark pass hand-in-hand for builders whilst constructing ML platforms with Spark
  • Build a suggestion engine that scales with Spark
  • Find out tips on how to construct unsupervised clustering platforms to categorise information in Spark
  • Build computing device studying platforms with the choice Tree and Ensemble versions in Spark
  • Deal with the curse of high-dimensionality in great information utilizing Spark
  • Implement textual content analytics for se's in Spark
  • Streaming computer studying method implementation utilizing Spark

In Detail

Machine studying goals to extract wisdom from info, counting on primary options in machine technology, facts, likelihood, and optimization. studying approximately algorithms allows quite a lot of purposes, from daily projects akin to product strategies and unsolicited mail filtering to bleeding side functions resembling self-driving autos and custom-made medication. you'll achieve hands-on adventure of utilizing those rules utilizing Apache Spark, a cluster computing approach compatible for large-scale computing device studying tasks.

This publication starts with a short evaluate of constructing the mandatory IDEs to facilitate the execution of code examples that would be coated. It additionally highlights a few key concerns builders face whereas brooding about Scala for computer studying and through the swap over to Spark. We development by means of uncovering a number of the Spark APIs and the implementation of ML algorithms with constructing type structures, advice engines, clustering and studying platforms. in the direction of the ultimate chapters, we’ll concentrate on development high-end functions and clarify a number of unsupervised methodologies and demanding situations to take on whilst imposing with immense information ML systems.

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