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The AI Glossary Handbook provides a comprehensive reference guide to the key concepts, techniques, and terminology associated with artificial intelligence and related fields. Written in an accessible style for readers of all levels, the handbook systematically covers foundational ideas like machine learning, deep learning, neural networks, supervised and unsupervised learning, as well as cutting-edge topics such as generative models, reinforcement learning, quantum computing, neuromorphic engineering, and more.
Each entry delivers a crisp definition clarifying the meaning and significance of important AI concepts. More advanced sections also explore timely issues in AI safety, ethics, and governance. By distilling complex subjects into clear, jargon-free explanations, the handbook equips readers with a solid working vocabulary to better understand the capabilities and applications of modern AI technology.
It serves as an indispensable reference for students, engineers, policymakers, and general readers seeking to build their knowledge in this rapidly advancing field.
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