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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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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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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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Mastering Machine Learning with Spark 2.x

Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial;

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Apache Spark 2.x Cookbook

, Spark 2.x delivers notable improvements in the areas of API, schema awareness, Performance, Structured Streaming, and simplifying building;

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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 for Java Developers

Spark 2.x ecosystem, followed by explaining how to install and configure Spark, and refreshes the Java concepts that will be useful to you when;

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Hadoop Real-World Solutions Cookbook

book provides recipes that are based on the latest versions of Apache Hadoop 2.X, YARN, Hive, Pig, Sqoop, Flume, Apache Spark, Mahout and many;

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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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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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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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Mastering Machine Learning Algorithms

machine learning problems Key Features Updated to include new algorithms and techniques Code updated to Python 3.8 & TensorFlow 2.x New coverage;

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Machine Learning with PySpark

challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning;

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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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Next-Generation Machine Learning with Spark

Beginning-Intermediate user level;...

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PySpark Cookbook

you if you are a Python developer looking for hands-on recipes for using the Apache Spark 2.x ecosystem in the best possible way. A thorough;

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Spark in Action

near-real time data with Spark Streaming, how to apply machine learning algorithms with Spark MLlib, how to apply graph algorithms on;

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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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Mastering Spark for Data Science

like: Machine Learning with Spark and Learning Spark. It is the next learning curve for those comfortable with Spark and looking to improve;

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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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Scala Data Analysis Cookbook

Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes About This Book;

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Mastering Scala Machine Learning

the best and newest tools available such as Scala, Spark, Parquet and MLlib for machine learning * Learn the best practices to incorporate;

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Hands-On Deep Learning with Apache Spark

learning with Apache Spark Train neural networks with deep learning libraries such as BigDL and TensorFlow Develop Spark deep learning applications;

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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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Einde inhoud

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