Download PDF by Siamak Amirghodsi: Apache Spark Machine Learning Cookbook

Machine Theory

By Siamak Amirghodsi

Over eighty recipes to simplify laptop studying version implementations with Spark

About This Book

  • Solve the daily difficulties of information technological know-how with Spark
  • This specific cookbook comprises intriguing and intuitive numerical recipes
  • Optimize your paintings by means of buying, cleansing, studying, predicting, and visualizing your data

Who This booklet Is For

This ebook is for Scala builders with a pretty sturdy publicity to and figuring out of laptop studying thoughts, yet lack functional implementations with Spark. a fantastic wisdom of computer studying algorithms is thought, in addition to hands-on event of enforcing ML algorithms with Scala. despite the fact that, you don't want to be accustomed to the Spark ML libraries and ecosystem.

What you'll Learn

  • Get to grasp how Scala and Spark pass hand-in-hand for builders while constructing ML platforms with Spark
  • Build a advice engine that scales with Spark
  • Find out the way to construct unsupervised clustering structures to categorise facts in Spark
  • Build computer studying platforms with the choice Tree and Ensemble versions in Spark
  • Deal with the curse of high-dimensionality in titanic 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 info, hoping on primary techniques in desktop technology, records, likelihood, and optimization. studying approximately algorithms allows quite a lot of functions, from daily initiatives akin to product concepts and unsolicited mail filtering to bleeding part purposes equivalent to self-driving vehicles and customized medication. you are going to achieve hands-on adventure of utilising those rules utilizing Apache Spark, a cluster computing approach well matched for large-scale computer studying tasks.

This booklet starts off with a brief evaluation of establishing the required IDEs to facilitate the execution of code examples that might be coated. It additionally highlights a few key matters builders face whereas brooding about Scala for computing device studying and through the swap over to Spark. We development by way of uncovering a few of the Spark APIs and the implementation of ML algorithms with constructing type structures, advice engines, clustering and studying structures. in the direction of the ultimate chapters, we’ll specialise in construction high-end functions and clarify numerous unsupervised methodologies and demanding situations to take on whilst enforcing with mammoth info ML systems.

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Apache Spark Machine Learning Cookbook by Siamak Amirghodsi


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