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Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book * Customize;
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Learning Path, you can take your knowledge of Apache Spark to the next level by learning how to expand Spark's functionality and building your own;
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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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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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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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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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, machine learning, stream processing, and SQL. This book aims to take your knowledge of Spark to the next level by teaching you how to expand;
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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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Spark * Covers various parts of machine learning including supervised/unsupervised learning & recommendation engines Who This Book Is For;
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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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and configure a local development environment using Apache Spark Understand how to design supervised and unsupervised learning models Build;
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Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by;
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Simplify data transformation with Spark Pipelines and Spark SQL Bridge data engineering with machine learning Architect modular data pipeline;
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* 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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data sets. But Spark goes much further than other frameworks. By including machine learning and graph processing capabilities, it makes;
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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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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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, machine learning, and analytics using PySpark Overcome challenges in developing and deploying Spark solutions using Python Explore recipes for;
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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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, architecture, machine learning, and tools, including Apache Spark, Apache Hadoop, Apache Hive, Python, and SQL. Valuable exercises help reinforce what;
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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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machine learning using Apache Spark. About This Book * Take your first steps in the world of data science by understanding the tools and;
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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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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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, 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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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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Spark. You will learn about implementations including distributed deep learning, numerical computing, and scalable machine learning. You will be;
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Einde inhoud
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