A Modern Guide to Artificial Intelligence
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TypePrint
- CategoryAcademic
- Sub CategoryNon Fiction
- StreamArtificial intelligence and Machine learning
Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century. From intelligent virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis, AI is reshaping industries, economies, and everyday life. As computing power, data availability, and algorithmic advancements continue to grow, the need for a structured and comprehensive understanding of AI has become essential for students, researchers, and professionals across disciplines.
This textbook is designed to provide a clear, systematic, and accessible introduction to the fundamental and advanced concepts of Artificial Intelligence and its major subfields. It covers the foundations of AI, including problem-solving and intelligent agents, and extends to core areas such as Machine Learning, Natural Language Processing, Computer Vision, Robotics, Expert Systems, Deep Learning, Data Science, and Generative AI. The book also introduces widely used AI tools and platforms that bridge theoretical knowledge with real-world implementation.
The content is organized in a logical progression, beginning with the fundamental principles of Artificial Intelligence and gradually moving toward advanced topics and applications. Each chapter is structured with clear explanations, conceptual diagrams, practical examples, and key learning points to support effective understanding. Emphasis is placed not only on algorithms and techniques but also on ethical considerations, societal impact, and responsible AI development.
This book is intended primarily for undergraduate and postgraduate students in engineering, computer science, and related disciplines. However, it is equally useful for faculty members, researchers, and industry professionals who seek a structured overview of AI technologies and applications. No extensive prior knowledge of advanced mathematics or programming is assumed, making the book suitable for beginners while still offering sufficient depth for advanced learners.
In preparing this textbook, care has been taken to present the material in a clear, concise, and academically rigorous manner. Real-world examples and current technological developments have been incorporated to ensure relevance and practical understanding. The authors hope that this book will serve as a valuable resource for academic courses, competitive examinations, research initiatives, and professional development.
Artificial Intelligence is not merely a technological innovation; it represents a paradigm shift in how machines interact with humans and the world around them. As AI continues to evolve, its responsible and ethical implementation will determine its long-term impact on society. It is our sincere hope that this textbook will inspire learners to explore, innovate, and contribute meaningfully to the ever-expanding field of Artificial Intelligence.
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