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Apache Spark 2

hassle. This Learning Path includes content from the following Packt products: Mastering Apache Spark 2.x by Romeo Kienzler Scala and Spark for;

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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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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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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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Apache Spark 2.x for Java Developers

using Spark Who This Book Is For If you are a Java developer interested in learning to use the popular Apache Spark framework, this book;

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Hands-On Deep Learning with Apache Spark

Speed up the design and implementation of deep learning solutions using Apache Spark Key Features Explore the world of distributed deep;

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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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Beginning Apache Spark 3

Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and;

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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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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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PySpark Cookbook

, machine learning, and analytics using PySpark Overcome challenges in developing and deploying Spark solutions using Python Explore recipes for;

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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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Apache Spark Quick Start Guide

book also helps data scientists who want to implement their machine learning algorithms in Spark. You need to have a basic understanding of any;

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Beginning Apache Spark Using Azure Databricks

, architecture, machine learning, and tools, including Apache Spark, Apache Hadoop, Apache Hive, Python, and SQL. Valuable exercises help reinforce what;

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Learning PySpark

* Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0 * Develop and deploy;

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Hadoop Real-World Solutions Cookbook

Spark, and Mahout About This Book * Implement outstanding Machine Learning use cases on your own analytics models and processes;

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Big Data Analytics

A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop;

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Machine Learning with Apache Spark Quick Start Guide

and configure a local development environment using Apache Spark Understand how to design supervised and unsupervised learning models Build;

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Spark in Action

data sets. But Spark goes much further than other frameworks. By including machine learning and graph processing capabilities, it makes;

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Mastering Machine Learning on AWS

machine learning apps on Amazon Web Services (AWS) using SageMaker, Apache Spark and TensorFlow Learn model optimization, and understand how to;

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Beginning Apache Spark 3

Beginning;...

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Learning Apache Spark 2

* Exclusive guide that covers how to get up and running with fast data processing using Apache Spark * Explore and exploit various possibilities with;

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Learning Spark

learning. How can you process such varied data workloads efficiently? Enter Apache Spark. Updated to emphasize new features in Spark 2.4., this;

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Spark GraphX in Action

, handling important machine learning algorithms, and much more. Spark GraphX in Action starts out with an overview of Apache Spark and the;

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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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Apache Spark for Data Science Cookbook

Spark. You will learn about implementations including distributed deep learning, numerical computing, and scalable machine learning. You will be;

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Machine Learning with Spark -

Create scalable machine learning applications to power a modern data-driven business using Spark 2.x About This Book * Get to the;

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