Machine Theory

Download e-book for kindle: Apache Spark Machine Learning Cookbook by Siamak Amirghodsi

By Siamak Amirghodsi

Over eighty recipes to simplify laptop studying version implementations with Spark

About This Book

  • Solve the day by day difficulties of information technology with Spark
  • This exact cookbook involves interesting and intuitive numerical recipes
  • Optimize your paintings by way of buying, cleansing, reading, predicting, and visualizing your data

Who This e-book Is For

This ebook is for Scala builders with a pretty strong publicity to and figuring out of computer studying strategies, yet lack functional implementations with Spark. an outstanding wisdom of computing device studying algorithms is believed, in addition to hands-on adventure of enforcing ML algorithms with Scala. even though, you don't need to be accustomed to the Spark ML libraries and ecosystem.

What you'll Learn

  • Get to understand how Scala and Spark pass hand-in-hand for builders while constructing ML platforms with Spark
  • Build a suggestion engine that scales with Spark
  • Find out how one can construct unsupervised clustering structures to categorise facts in Spark
  • Build desktop studying platforms 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 computing device studying process implementation utilizing Spark

In Detail

Machine studying goals to extract wisdom from facts, counting on basic innovations in laptop technology, data, chance, and optimization. studying approximately algorithms permits a variety of purposes, from daily initiatives resembling product innovations and junk mail filtering to bleeding facet purposes corresponding to self-driving automobiles and customized drugs. you are going to achieve hands-on event of making use of those ideas utilizing Apache Spark, a cluster computing process well matched for large-scale laptop studying tasks.

This publication starts with a brief assessment of establishing the required IDEs to facilitate the execution of code examples that may be lined. It additionally highlights a few key matters builders face whereas pondering Scala for desktop studying and through the change over to Spark. We growth via 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 construction high-end functions and clarify a variety of unsupervised methodologies and demanding situations to take on whilst imposing with colossal information ML systems.

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Apache Spark Machine Learning Cookbook by Siamak Amirghodsi


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