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must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data;
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* Comprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects * More than 15 open source Java;
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complexity levels, to apply them to your daily work. The course provides you with highly practical content explaining deep learning with Java, from;
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, WEKA, MALLET libraries Practical examples, tips, and tricks to help you understand applied machine learning in Java Book DescriptionAs the;
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Java About This Book * Go beyond the theory and put Deep Learning into practice with Java * Find out how to build a range of Deep;
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of modern Data Science and Machine Learning libraries available in Java * Coverage of a broad set of topics, going from the basics of Machine;
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Build, train, and deploy intelligent applications using Java libraries Key Features Leverage the power of Java libraries to build smart;
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Java Virtual Machine and its features * Filled with practical examples, this book will help you understand the core concepts of Java, Scala;
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The nucleus of the Java(TM) 2 platform, the Java(TM) virtual machine is the technology that enables the Java 2 platform to host;
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familiarity with Java, and some basic grounding in machine learning techniques. F * First and only book devoted to Apache Mahout F;
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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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Machine learning applications autonomously reason about data at massive scale. It's important that they remain responsive in the face;
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"Explore machine learning in Rust and learn about the intricacies of creating machine learning applications"--;
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Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;
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Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you;
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Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you;
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A Dynamic Compiler for an Embedded Java Virtual Machine is een boek van Sami Zhioua;
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techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning;
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Are you a machine learning enthusiast looking for a practical day to day application? Or are you just trying to incorporate machine;
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programming languages in the world. With this book, you will see how to perform deep learning using Deeplearning4j (DL4J) - the most popular Java;
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Java applications more capable using machine learning Who This Book Is For This book is for Java developers who are comfortable developing;
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Learn the basics of analytics on big data using Java, machine learning and other big data tools About This Book * Acquire real-world;
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. About This Book * Second edition of the bestselling book on Machine Learning * A practical approach to key frameworks in data science, machine;
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working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark * Comprehensive practical;
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Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you'll learn how to;
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industries aspiring to use machine learning for solving practical industrial problems.;
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