{"product_id":"machine-learning-for-jax-gilberto-neal-9798312408386","title":"Machine Learning for JAX: Building Scalable, Fast, and Flexible AI Models for the Future of Computing","description":"\u003cp\u003eMachine learning is evolving rapidly, and efficiency is more critical than ever. \u003cb\u003eMachine Learning for JAX\u003c\/b\u003e is your ultimate guide to leveraging JAX for high-performance deep learning, large-scale AI training, and cutting-edge research. Whether you're a researcher, engineer, or AI enthusiast, this book will equip you with the tools to build faster, scalable, and optimized models using JAX's powerful automatic differentiation, JIT compilation, and GPU\/TPU acceleration.\u003c\/p\u003e\u003cp\u003eThis book provides comprehensive and hands-on coverage of JAX, from the fundamentals of numerical computing to advanced AI applications, including reinforcement learning, large language models (LLMs), and distributed training. You'll explore real-world industry use cases, optimize AI workflows with pmap and pjit, and learn how to handle massive datasets efficiently.\u003c\/p\u003e\u003cp\u003eThrough detailed explanations, real-world examples, and working code implementations, you'll gain a deep practical understanding of JAX and its role in accelerating machine learning. Each chapter breaks down complex topics in an easy-to-follow manner, ensuring that both beginners and experienced developers can harness the full potential of JAX.\u003c\/p\u003e\u003cb\u003eWhat You Will Learn: \u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eFundamentals of JAX and how it differs from NumPy and TensorFlow\u003c\/li\u003e\n\u003cli\u003eJIT compilation and vectorization for massive speedups\u003c\/li\u003e\n\u003cli\u003eOptimization techniques using SGD, Adam, and RMSprop in JAX\u003c\/li\u003e\n\u003cli\u003eDistributed training with multi-GPU and TPU acceleration\u003c\/li\u003e\n\u003cli\u003eBuilding and optimizing large-scale AI models like VAEs, GANs, and LLMs\u003c\/li\u003e\n\u003cli\u003eUsing JAX in scientific computing and graph neural networks (GNNs)\u003c\/li\u003e\n\u003cli\u003eReal-world production use cases and how JAX integrates with Google's AI ecosystem\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWhy This Book?\u003c\/b\u003e\u003cp\u003eUnlike other deep learning books, \u003cb\u003eMachine Learning for JAX\u003c\/b\u003e goes beyond the basics and focuses on practical, real-world applications. You won't just learn theory-you'll build, optimize, and scale AI models like a pro. Whether you're working on academic research, AI startups, or enterprise-scale ML systems, this book will elevate your machine learning capabilities.\u003c\/p\u003e\u003cp\u003eJAX is redefining the future of machine learning and AI research. Don't get left behind. Whether you're an ML researcher, software engineer, or data scientist, this book will empower you with the knowledge and skills to stay ahead in the AI revolution.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGet your copy now and unlock the full power of JAX!\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Gilberto Neal\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798312408386\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 02\/27\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 244\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.87lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.61h x 6.69w x 0.51d","brand":"Gilberto Neal","offers":[{"title":"Paperback","offer_id":47611924316415,"sku":"9798312408386","price":20.37,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_efa42253-2b36-4745-b2fc-f8f1ebd1ea64.jpg?v=1764516990","url":"https:\/\/www.whiterainbookhouse.com\/products\/machine-learning-for-jax-gilberto-neal-9798312408386","provider":"WR Book House","version":"1.0","type":"link"}