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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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Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and;
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Leverage the power of Java and its associated machine learning libraries to build powerful predictive models Key Features Solve predictive;
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Build and run intelligent applications by leveraging key Java machine learning libraries About This Book * Develop a sound strategy to;
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Discover the power of Java for developing applications today with the engaging, hands-on approach in Farrell's JAVA PROGRAMMING, 10th;
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Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing;
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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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Machine learning applications autonomously reason about data at massive scale. It's important that they remain responsive in the face;
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A Dynamic Compiler for an Embedded Java Virtual Machine is een boek van Sami Zhioua;
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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 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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machine learning problems Key Features Updated to include new algorithms and techniques Code updated to Python 3.8 & TensorFlow 2.x New coverage;
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Covers the information Java programmers need to understand Java Virtual Machine (JVM), the platform-independent engine used to run Java;
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