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Language: English

Pages: 340

Publisher: Packt Publishing (February 20, 2015)


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Key FeaturesFollow real-world examples to benefit the best way to increase your personal computing device studying platforms with SparkA sensible educational with real-world use instances permitting you to boost your personal computing device studying platforms with SparkCombine a variety of recommendations and types into an clever computer studying systemExplore and use Spark's robust diversity of good points to load, study, fresh, and your dataBook DescriptionApache Spark is a framework for dispensed computing that's designed from the floor as much as be optimized for low latency projects and in-memory facts garage. it's one of many few frameworks for parallel computing that mixes velocity, scalability, in-memory processing, and fault tolerance conveniently of programming and a versatile, expressive, and robust API design.This e-book courses you thru the fundamentals of Spark's API used to load and strategy facts and get ready the information to exploit as enter to many of the computing device studying versions. There are particular examples and real-world use instances so you might discover universal computing device studying types together with recommender platforms, category, regression, clustering, and dimensionality aid. you'll conceal complex subject matters corresponding to operating with large-scale textual content facts, and techniques for on-line desktop studying and version overview utilizing Spark Streaming.What you are going to learnCreate your first Spark application in Scala, Java, and PythonSet up and configure a improvement surroundings for Spark by yourself computing device, in addition to on Amazon EC2Access public desktop studying datasets and use Spark to load, approach, fresh, and remodel dataUse Spark's computing device studying library to enforce courses using famous laptop studying versions together with collaborative filtering, category, regression, clustering, and dimensionality reductionWrite Spark capabilities to guage the functionality of your laptop studying modelsDeal with large-scale textual content information, together with characteristic extraction and utilizing textual content facts as enter in your laptop studying modelsExplore on-line studying equipment and use Spark Streaming for on-line studying and version evaluate concerning the AuthorNick Pentreath is a member of the Apache Spark venture administration Committee. He has has a heritage in monetary markets, desktop studying, and software program improvement, together with adventure as a learn scientist on the on-line advert focusing on start-up Cognitive fit restricted in London and major the information technology and Analytics group at Mxit, Africa's biggest social community. he's additionally one of many cofounders of Graphflow, an enormous info and laptop studying corporation fascinated about user-centric techniques and purchaser intelligence.Table of Contents Getting Up and operating with SparkDesigning a laptop studying SystemObtaining, Processing and getting ready info with SparkBuilding a suggestion Engine with SparkBuilding a category version with SparkBuilding a Regression version with SparkBuilding a Clustering version with SparkDimensionality aid with SparkAdvanced textual content Processing with SparkReal-Time laptop studying with Spark Streaming

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