Amit kant pandit (33 Ergebnisse)

Zustand: New.

Paperback. Zustand: Brand New. 342 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 390 pages. 6.14x0.83x9.21 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - Unlock the transformative potential of deep learning in your professional and academic endeavors with Deep Learning in Engineering, Energy and Finance: Principals and Applications. This comprehensive guide seamlessly bridges the gap between theoretical concepts and practical implementations, providing you with the knowledge and tools to revolutionize industries and drive innovation. Delve into real-world applications and cutting-edge research that showcase how deep learning is redefining engineering processes, optimizing energy systems, and reshaping financial markets.This book: - Explores deep learning applications across engineering, energy, and finance, highlighting diverse use cases and industry-specific challenges. - Discovers how deep learning is driving breakthroughs in predictive maintenance, energy optimization, algorithmic trading, and risk management. - Illustrates all the concepts connected to Deep Learning from head and heart with real-time practical examples and case studies. - Stresses on skills needed to tackle future challenges, with a focus on emerging deep learning technologies oriented towards Solar Energy, SOM's, Stock Market, Speech Technology and Many more. Whether you're a student eager to explore the latest advancements or a seasoned R&D professional seeking to enhance your skill set, this book offers invaluable insights and practical guidance to elevate your expertise.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New. In English.

Zustand: NEW.

Hardcover. Zustand: Brand New. 448 pages. 10.50x7.50x1.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Smart Systems: Engineering and Managing Information for Future Success | Navigating the Landscape of Intelligent Technologies | Shubham Mahajan (u. a.) | Taschenbuch | Information Systems Engineering and Management | vi | Englisch | 2026 | Springer | EAN 9783031761546 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New.

Zustand: New.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 576 pages. 9.17x6.38x1.50 inches. In Stock.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Zustand: New.

Zustand: New. Dr. Amit Kant Pandit is working as an Associate Professor and is Ex-Hod, DECE, in Shri Mata Vaishno Devi University (SMVDU), Katra (India). He is a Senior member of IEEE and MIR labs member and has 19 years of academic experience. Mohamed Abouhaww.

Hardcover. Zustand: Brand New. 416 pages. 10.28x7.20x1.14 inches. In Stock.

Zustand: New. Provides a comprehensive overview of the most recent advancements in biomedical engineeringIncludes real-world case studies that offer insights into the practical application of these innovationsPresents in-depth discussions on eth.

Hardcover. Zustand: Brand New. 400 pages. 9.25x6.10x8.90 inches. In Stock.

Zustand: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 448 pages. 9.18x6.12x9.21 inches. In Stock.

Buch. Zustand: Neu. Neuware - This book serves as a bridge connecting the theoretical foundations of DRL with practical, actionable insights for implementing these technologies in a variety of industrial contexts, making it a valuable resource for professionals and enthusiasts at the forefront of technological innovation. Deep Reinforcement Learning (DRL) represents one of the most dynamic and impactful areas of research and development in the field of artificial intelligence. Bridging the gap between decision-making theory and powerful deep learning models, DRL has evolved from academic curiosity to a cornerstone technology driving innovation across numerous industries. Its core premise-enabling machines to learn optimal actions within complex environments through trial and error-has broad implications, from automating intricate decision processes to optimizing operations that were previously beyond the reach of traditional AI techniques. 'Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications' is an essential guide for anyone eager to understand the nexus between cutting-edge artificial intelligence techniques and practical industrial applications. This book not only demystifies the complex theory behind deep reinforcement learning (DRL) but also provides a clear roadmap for implementing these advanced algorithms in a variety of industries to solve real-world problems. Through a careful blend of theoretical foundations, practical insights, and diverse case studies, the book offers a comprehensive look into how DRL is revolutionizing fields such as finance, healthcare, manufacturing, and more, by optimizing decisions in dynamic and uncertain environments. This book distills years of research and practical experience into accessible and actionable knowledge. Whether you're an AI professional seeking to expand your toolkit, a business leader aiming to leverage AI for competitive advantage, or a student or academic researching the latest in AI applications, this book provides valuable insights and guidance. Beyond just exploring the successes of DRL, it critically examines challenges, pitfalls, and ethical considerations, preparing readers to not only implement DRL solutions but to do so responsibly and effectively. Audience The book will be read by researchers, postgraduate students, and industry engineers in machine learning and artificial intelligence, as well as those in business and industry seeking to understand how DRL can be applied to solve complex industry-specific challenges and improve operational efficiency.…

Paperback. Zustand: Brand New. 450 pages. 9.00x6.00x9.02 inches. In Stock.

Hardcover. Zustand: Brand New. 416 pages. 9.19x6.13x0.91 inches. In Stock.