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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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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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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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Spark Learning: 3 Keys to Embracing The is een boek van Ramsey Musallam;
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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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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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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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Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book * Customize;
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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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data sets. But Spark goes much further than other frameworks. By including machine learning and graph processing capabilities, it makes;
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Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial;
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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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* 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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Spark * Covers various parts of machine learning including supervised/unsupervised learning & recommendation engines Who This Book Is For;
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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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Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API;
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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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Beginning-Intermediate user level;...
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string data * Integrate quintessential machine learning algorithms using Scala stack * Bundle and scale up Spark jobs by deploying them into a;
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learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell Leverage Spark's;
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learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib;
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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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Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster;
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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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query syntax * See how Spark works with big data * Implement machine learning systems with highly scalable algorithms * Use R, the popular;
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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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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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