By Siamak Amirghodsi
Over eighty recipes to simplify computing device studying version implementations with Spark
About This Book
- Solve the daily difficulties of knowledge technological know-how with Spark
- This designated cookbook involves intriguing and intuitive numerical recipes
- Optimize your paintings via buying, cleansing, interpreting, predicting, and visualizing your data
Who This e-book Is For
This publication is for Scala builders with a pretty sturdy publicity to and figuring out of computer studying innovations, yet lack functional implementations with Spark. a superior wisdom of desktop studying algorithms is believed, in addition to hands-on adventure of enforcing ML algorithms with Scala. in spite of the fact that, you don't want to be accustomed to the Spark ML libraries and ecosystem.
What you are going to Learn
- Get to grasp how Scala and Spark cross hand-in-hand for builders while constructing ML structures with Spark
- Build a advice engine that scales with Spark
- Find out how one can construct unsupervised clustering structures to categorise info in Spark
- Build computing device studying platforms with the choice Tree and Ensemble types in Spark
- Deal with the curse of high-dimensionality in substantial facts utilizing Spark
- Implement textual content analytics for se's in Spark
- Streaming computing device studying approach implementation utilizing Spark
Machine studying goals to extract wisdom from info, counting on primary innovations in computing device technological know-how, records, likelihood, and optimization. studying approximately algorithms permits quite a lot of functions, from daily initiatives akin to product concepts and unsolicited mail filtering to bleeding facet purposes resembling self-driving vehicles and custom-made medication. you'll achieve hands-on adventure of using those ideas utilizing Apache Spark, a cluster computing procedure compatible for large-scale laptop studying tasks.
This ebook starts off with a short assessment of developing the required IDEs to facilitate the execution of code examples that might be lined. It additionally highlights a few key concerns builders face whereas considering Scala for computer studying and through the change over to Spark. We growth via uncovering some of the Spark APIs and the implementation of ML algorithms with constructing category platforms, advice engines, clustering and studying structures. in the direction of the ultimate chapters, we’ll specialize in construction high-end purposes and clarify quite a few unsupervised methodologies and demanding situations to take on whilst imposing with monstrous facts ML systems.
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Additional resources for Apache Spark Machine Learning Cookbook
Apache Spark Machine Learning Cookbook by Siamak Amirghodsi