Authors: Ms. E. Priya, Ms. R. Kokila Devi, and Mrs. V. G. Anisha Gnana Vincy

ISBN: 978-81-69297-08-0

DOI: https://doi.org/10.59646/600

Date of Publication: March 25, 2026

Cite this book: E. Priya, RK Devi, and VGAG Vincy, (2026), Artificial Intelligence for Beginners: Concepts, Tools, and Examples, San International Scientific Publications, ISBN: 978-81-69297-08-0, doi: https://doi.org/10.59646/600

Preface

Artificial Intelligence has rapidly evolved from a theoretical concept into a transformative force shaping modern society, industries, and everyday life. Artificial Intelligence for Beginners: Concepts, Tools, and Examples is designed to provide a comprehensive yet accessible foundation for learners who are stepping into this dynamic field for the first time. This book systematically introduces the core principles of AI, beginning with its historical evolution and fundamental distinctions between AI, Machine Learning, and Deep Learning, and progressing through practical aspects such as data collection, preprocessing, and the complete AI project lifecycle. It emphasizes real-world applicability by exploring supervised and unsupervised learning techniques, model evaluation strategies, and the development of robust, data-driven systems. As readers advance, they are introduced to powerful deep learning architectures, natural language processing techniques, and reinforcement learning concepts that drive intelligent automation and decision-making systems. Each unit is carefully structured to bridge theory with practice, incorporating industry use cases across domains such as healthcare, finance, manufacturing, retail, and governance, thereby illustrating how AI solutions are deployed in real-world scenarios. The book also highlights critical challenges in applied AI, including data quality issues, model limitations, and ethical concerns, while promoting responsible AI practices centered on fairness, transparency, accountability, and privacy. By integrating conceptual clarity with practical insights, this text equips learners, students, and early professionals with the knowledge and skills required to understand, design, and implement AI-driven solutions, fostering both technical competence and responsible innovation in an increasingly AI-powered world.