Apache Spark 2.x Machine Learning Cookbook

Description

Simplify machine learning model implementations with Spark About This BookSolve the day-to-day problems of data science with SparkThis unique cookbook consists of exciting and intuitive numerical recipesOptimize your work by acquiring, cleaning, analyzing, predicting, and visualizing your dataWho This Book Is For This book is for Scala developers with a fairly good exposure to and understanding of machine learning techniques, but lack practical implementations with Spark. A solid knowledge of machine learning algorithms is assumed, as well as hands-on experience of implementing ML algorithms with Scala. However, you do not need to be acquainted with the Spark ML libraries and ecosystem. What You Will LearnGet to know how Scala and Spark go hand-in-hand for developers when developing ML systems with SparkBuild a recommendation engine that scales with SparkFind out how to build unsupervised clustering systems to classify data in SparkBuild machine learning systems with the Decision Tree and Ensemble models in SparkDeal with the curse of high-dimensionality in big data using SparkImplement Text analytics for Search Engines in SparkStreaming Machine Learning System implementation using SparkIn Detail Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. Learning about algorithms enables a wide range of applications, from everyday tasks such as product recommendations and spam filtering to cutting edge applications such as self-driving