{"product_id":"differentiable-programming-for-ai-engineers-ethan-vale-9798298736251","title":"Differentiable Programming for AI Engineers: Practical Workflows with PyTorch, JAX, and Julia","description":"\u003cp\u003eDifferentiable programming is rapidly becoming a cornerstone of modern artificial intelligence, extending the power of gradient-based optimization far beyond neural networks into domains as diverse as physics, control systems, graphics, and large-scale simulation. While research papers and scattered tutorials have introduced fragments of the field, \u003ci\u003eDifferentiable Programming for AI Engineers\u003c\/i\u003e is the first and only comprehensive guide designed to help practitioners and advanced students grasp its principles and apply them effectively using today's leading frameworks.\u003c\/p\u003e\u003cp\u003eThis book unifies the concepts, tools, and methods of differentiable programming in a clear and practical fashion, balancing mathematical rigor with hands-on engineering workflows. Through carefully chosen explanations and code examples in PyTorch, JAX, and Julia, the book demonstrates how to move from theory to implementation without losing sight of precision or usability.\u003c\/p\u003e\u003cp\u003eThe book covers the foundations of automatic differentiation, differentiable optimization, and end-to-end trainable systems, while extending to cutting-edge applications such as differentiable physics engines, differentiable graphics and rendering, and optimization in complex industrial systems. Alongside these, it introduces advanced practices for workflow design, hybrid modeling, and the integration of differentiable components into real-world AI pipelines.\u003c\/p\u003e\u003cp\u003eWith an emphasis on clarity and practical value, this book shows how to construct, analyze, and deploy differentiable programs that can optimize themselves in dynamic environments. Each chapter pairs essential mathematical ideas with runnable code, making the material directly applicable for engineers and researchers alike.\u003c\/p\u003e\u003cp\u003eBased on years of experience building AI applications, this volume will help readers understand the principles of differentiable programming, evaluate its role in modern AI systems, and design workflows that extend learning into new domains. It is essential reading for machine learning engineers, applied researchers, and anyone aiming to master the next generation of optimization-driven AI.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Ethan Vale\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798298736251\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/18\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 238\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.92lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.50d","brand":"Ethan Vale","offers":[{"title":"Paperback","offer_id":48623504556287,"sku":"9798298736251","price":20.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_9173b543-6deb-4d28-a735-1fef714bcec5.jpg?v=1780432958","url":"https:\/\/www.whiterainbookhouse.com\/products\/differentiable-programming-for-ai-engineers-ethan-vale-9798298736251","provider":"WR Book House","version":"1.0","type":"link"}