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Provides thorough coverage of the major concepts of AI programming, including forward and backward chaining, developing an inference engine, and using natural language interfaces and object-oriented programming. Sample programs are written in C.
Embark on an extraordinary journey through the cutting-edge world of artificial intelligence with The Algorithmic Odyssey. This comprehensive guide serves as both a map and a compass for navigating the complex and rapidly evolving landscape of AI research. From the foundational principles of machine learning to the latest advancements in neural networks, this book offers a detailed exploration of the algorithms that are reshaping our world. Whether you are a seasoned researcher, a curious student, or a tech enthusiast, The Algorithmic Odyssey provides invaluable insights into the methodologies, challenges, and breakthroughs that define contemporary AI research. Discover the intricacies of supervised and unsupervised learning, delve into the depths of deep learning, and understand the transformative impact of reinforcement learning. Each chapter is meticulously crafted to offer clear explanations, practical examples, and thought-provoking discussions, making complex concepts accessible without sacrificing depth. Beyond the technicalities, The Algorithmic Odyssey also addresses the ethical, societal, and philosophical implications of AI. What does it mean to create intelligent systems? How do we ensure that these technologies benefit humanity? These questions and more are explored with rigor and sensitivity, encouraging readers to think critically about the future of AI. With contributions from leading experts in the field and a wealth of resources for further study, The Algorithmic Odyssey is an essential addition to the library of anyone passionate about the future of technology and its impact on our world. Join us on this odyssey and unlock the mysteries of artificial intelligence.
This book introduces and explains the concepts of artificial intelligence and expert systems in a language that everyone can understnand. You don't need any mathematical expertise, and even if your knowledge of computers is small, you will still learn a great deal about this vital new area of computer engineering.
This book covers everything from machine learning to robotics and the internet of things. By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.
"AI in Practice: A Comprehensive Guide to Leveraging Artificial Intelligence in Business" is a groundbreaking book that provides a comprehensive and practical exploration of the applications, strategies, and considerations involved in leveraging artificial intelligence (AI) in various business domains. Written for professionals, decision-makers, and enthusiasts alike, this book serves as a roadmap to help organizations harness the power of AI to drive innovation, improve efficiencies, and gain a competitive edge in the modern digital landscape.
"AI in Practice: A Comprehensive Guide to Leveraging Artificial Intelligence in Business" offers a rich and comprehensive exploration of the practical applications, strategies, and considerations involved in harnessing the power of artificial intelligence (AI) in various business domains. Throughout the book, readers are taken on a journey that covers the fundamentals of AI, aligning AI strategies with business goals, building the right team, developing an AI roadmap, data management, AI technologies, implementation methodologies, ethical considerations, measuring success, workforce development, emerging trends, and much more. The book provides a holistic and practical understanding of AI in practice, empowering organizations to embark on their AI journey with confidence and clarity.