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In Deep Learning with PyTorch, Second Edition, you’ll learn how to create your own neural network and deep learning systems and take full advantage of PyTorch’s... Læs mere
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Virtual Reality Audio: A Guide to Immersive Sound in Virtual Experiences takes you inside the world of immersive sound in VR, revealing how it transforms music, film sound, and game audio through practical examples and rich aesthetic, technical, and historical insights.
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With a focus on practical applications and prospects, this book bridges the gap between theory and practice, empowering readers to... Læs mere
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Mathematics is the foundation of machine learning algorithms. To understand the shortcomings of existing algorithms and develop more effective methods, it is essential to understand the mathematical concepts underlying these algorithms and their operational principles.
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The Games that Computers (and Humans) Play is a non-technical introduction to AI using games to... Læs mere
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Artificial Intelligence Techniques in Mathematical Modeling and Optimization offers a dynamic and comprehensive examination of the intersection between artificial intelligence and mathematical modeling.
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The text presents various methods for applying machine learning and deep learning techniques to heterogeneous agricultural data and incorporating advanced Internet of Things-enabled technologies for web and mobile based applications for crop lifecycle tracking.
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This concise textbook is intended as a guide for programming-language designers and users to better help them understand consequences of design decisions.... Læs mere
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Students, researchers, and practitioners aiming to solve large, complex discrete and combinatorial optimization problems—whether in industry, science, or technology—will find this book... Læs mere