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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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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 applications using Spark MLlib and how to manage the machine learning development lifecycle. This book is packed with practical examples;
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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 Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by;
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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 and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows;
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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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Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models;
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Beginning-Intermediate user level;...
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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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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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Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes About This Book;
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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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* 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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learning systems that learn from your data and give accurate predictions Unleash the power of Spark ML along with popular machine learning;
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Combine advanced analytics including Machine Learning, Deep Learning Neural Networks and Natural Language Processing with modern scalable;
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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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Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster;
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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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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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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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Learn how to build complete machine learning systems with IBM Cloud and Watson Machine learning services Key Features Implement data;
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Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow. Key Features Build;
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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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Features Learn about the core concepts and the latest developments in Apache Spark Master writing efficient big data applications with Spark's;
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Tackle the real-world complexities of modern machine learning with innovative, cutting-edge, techniques About This Book * Fully-coded;
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