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Hands-On Deep Learning with Apache Spark

layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts;

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Practical Apache Spark

various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help;

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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 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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Machine Learning with Apache Spark Quick Start Guide

, music, blogs and so on)? And once we can manage all of this data, how do we derive real value from it? The focus of Machine Learning 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 Spark for Data Science Cookbook

learning. * Solve real-world analytical problems with large data sets. * Address data science challenges with analytical tools on a distributed;

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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 Cookbook

You Will Learn * Install and configure Apache Spark with various cluster managers & on AWS * Set up a development environment for Apache;

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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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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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Apache Spark Machine Learning Blueprints

* Build machine learning systems with Spark that can detect fraud and analyze financial risks * Build predictive models focusing on customer;

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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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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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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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Apache Spark 2.x for Java Developers

clustered environment, and work with Spark SQL. Moving on, you will perform near-real-time processing with Spark streaming, Machine Learning;

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Practical Data Analysis -

to implement large data processing with MongoDB and Apache Spark. Style and approach This is a hands-on guide to data analysis and data;

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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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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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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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Beginning Apache Spark Using Azure Databricks

analytics on large clusters in Azure and AWS, using Apache Spark with Databricks on top. Discover how to squeeze the most value out of your data at;

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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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Hands-On Data Science and Python Machine Learning

will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis;

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Graph Algorithms Practical Examples in Apache Spark and Neo4j

and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark;

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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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Machine Learning with Spark and Python

. Machine Learning with Spark and Python focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes;

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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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Einde inhoud

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