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Apache Spark Quick Start Guide

to help you get started with Apache Spark, but it also focuses on explaining the core concepts. This practical guide provides a quick start;

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Machine Learning with Apache Spark Quick Start Guide

Combine advanced analytics including Machine Learning, Deep Learning Neural Networks and Natural Language Processing with modern scalable;

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Apache Spark Machine Learning Blueprints

Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book * Customize;

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Apache Spark 2

data flow and machine learning programs on this platform. You will work with the different modules in Apache Spark, such as interactive;

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Beginning Apache Spark 3

learning applications using Spark MLlib and how to manage the machine learning development lifecycle. This book is packed with practical examples;

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Beginning Apache Spark 2

machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows;

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Learning PySpark

efficient, scalable real-time Spark solutions * Take your understanding of using Spark with Python to the next level with this jump start guide;

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Mastering Apache Spark 2.x -

Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book * An advanced guide with a combination;

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Practical Apache Spark

in various Spark components. You'll also become familiar with machine learning algorithms with real-time usage. What You Will Learn Discover the;

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Hands-On Deep Learning with Apache Spark

and the speed at which deep learning solutions can be implemented on Apache Spark. The book starts with the fundamentals of Apache Spark and;

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Apache Spark 2.x for Java Developers

functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone. The book starts with an introduction to the Apache;

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PySpark Cookbook

leveraging the power of Python and putting it to use in the Spark ecosystem. You'll start by learning the Apache Spark architecture and how to set up;

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Machine Learning with Scala Quick Start Guide

Supervised and unsupervised machine learning made easy in Scala with this quick-start guide. Key Features Construct and deploy machine;

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Machine Learning with Spark -

grips with the latest version of Apache Spark * Utilize Spark's machine learning library to implement predictive analytics * Leverage Spark's;

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Apache Spark 2.x Cookbook

Spark * Covers various parts of machine learning including supervised/unsupervised learning & recommendation engines Who This Book Is For;

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Modern Data Engineering with Apache Spark

Simplify data transformation with Spark Pipelines and Spark SQL Bridge data engineering with machine learning Architect modular data pipeline;

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Machine Learning with Spark and Python

Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by;

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Frank Kane's Taming Big Data with Apache Spark and Python

Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by;

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Spark in Action

teaches readers to use Spark for stream and batch data processing. It starts with an introduction to the Spark architecture and ecosystem;

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Spark for Data Science

Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 About This Book * Perform data;

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Mastering Machine Learning on AWS

Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow. Key Features Build;

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Spark - The Definitive Guide

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster;

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Practical Data Analysis -

how to implement sentiment text analysis * Install data analysis tools such as Pandas, MongoDB, and Apache Spark * Get to grips with Apache;

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Learning Spark SQL

examples will give you the required confidence to work on any future projects you encounter in Spark SQL. It starts by familiarizing you with data;

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Apache Oozie Essentials

in HDFS * Create and process data pipelines with Pig, hive scripts as per business requirements. * Run machine learning Spark jobs on Hadoop;

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Big Data Analytics

clusters About This Book * This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most;

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Learning Spark

Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models;

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