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 specified cookbook includes interesting and intuitive numerical recipes
- Optimize your paintings via buying, cleansing, examining, predicting, and visualizing your data
Who This publication Is For
This publication is for Scala builders with a reasonably solid publicity to and knowing of desktop studying options, yet lack sensible implementations with Spark. an exceptional wisdom of computing device studying algorithms is thought, in addition to hands-on event of imposing ML algorithms with Scala. in spite of the fact that, you don't want to be conversant in the Spark ML libraries and ecosystem.
What you'll Learn
- Get to understand how Scala and Spark move hand-in-hand for builders while constructing ML structures with Spark
- Build a suggestion engine that scales with Spark
- Find out tips to construct unsupervised clustering platforms to categorise information in Spark
- Build computer studying structures with the choice Tree and Ensemble versions in Spark
- Deal with the curse of high-dimensionality in mammoth information utilizing Spark
- Implement textual content analytics for se's in Spark
- Streaming computer studying process implementation utilizing Spark
Machine studying goals to extract wisdom from info, hoping on primary recommendations in laptop technological know-how, data, likelihood, and optimization. studying approximately algorithms allows a variety of functions, from daily initiatives similar to product concepts and unsolicited mail filtering to bleeding side purposes reminiscent of self-driving autos and custom-made medication. you are going to achieve hands-on event of utilizing those rules utilizing Apache Spark, a cluster computing approach compatible for large-scale laptop studying tasks.
This publication starts with a brief evaluation of developing the mandatory IDEs to facilitate the execution of code examples that would be lined. It additionally highlights a few key matters builders face whereas wondering Scala for computer studying and through the change over to Spark. We growth through uncovering some 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 construction high-end functions and clarify quite a few unsupervised methodologies and demanding situations to take on while enforcing with monstrous information ML systems.
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Extra info for Apache Spark Machine Learning Cookbook
Apache Spark Machine Learning Cookbook by Siamak Amirghodsi