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Beginning-Intermediate user level;...
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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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Unified Stack. Next, it offers an overview of Spark SQL before moving on to its advanced features. It covers tips and techniques for dealing with;
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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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Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial;
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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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, 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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Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes About This Book;
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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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frameworks to deal with the ever-increasing deluge of bioinformatics data. What you will learn Learn how to process large next-generation sequencing;
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efficient, scalable real-time Spark solutions * Take your understanding of using Spark with Python to the next level with this jump start guide;
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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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Are you someone who is interested in how the next generation of machines can help you? Machine Learning and AI are more than just science;
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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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Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow. Key Features Build;
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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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the generation, testing, and generalization of scientific discoveries. With these different academic and practical perspectives in mind, the;
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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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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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how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for;
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how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for;
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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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