Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251, Alam, Amjad, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Shah, Prashant Bikram ORCID: https://orcid.org/0009-0009-4149-0855, Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817 and Ling, Soonleh ORCID: https://orcid.org/0000-0002-7104-3812 (2025) Comprehensive Learning of Artificial Intelligence and Machine Learning - Series 1: Uncover the Mystery of AI and ML for Beginners and Students. Amazon, Independently published

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Abstract

This book provides a comprehensive introduction to Artificial Intelligence (AI) and its foundational components, written in a way to guide readers through theoretical concepts and practical applications. It begins by exploring the evolution of AI, delving into its core principles and highlighting its transformative impact across industries such as healthcare, finance, and entertainment. Machine learning is then introduced as a crucial subset of AI, with a detailed examination of its types, including supervised, unsupervised, and reinforcement learning, and their real-world applications.
The chapters take a hands-on approach, covering every step of a machine learning project, from data collection and analysis to model building, fine-tuning, and deployment. Regression and classification techniques are thoroughly explained, with practical examples showcasing their utility in prediction and decision-making tasks. The book also delves into clustering methods in unsupervised learning, shedding light on their role in uncovering hidden patterns in data.
Advanced topics like Natural Language Processing (NLP) and recommender systems are introduced, illustrating their significance in text analysis and enhancing user experiences in industries like e-commerce and media. The book does not shy away from discussing critical ethical challenges in AI, such as bias, transparency, and privacy, urging readers to consider responsible AI development. Finally, the book culminates in a practical guide for building a simple AI application, providing readers with the tools and confidence to embark on their own AI projects.

Item Type:	Book
Status:	Published
Subjects:	Q Science > Q Science (General) > Q325 Machine learning
School/Department:	London Campus
URI:	https://ray.yorksj.ac.uk/id/eprint/12707

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