Artificial Intelligence and Machine Learning for Real-World Applications

A Beginner's Guide with Case Studies
1. Auflage 2025
ISBN: 978-1-032-87346-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 256 Seiten, Format (B × H): 156 mm x 234 mm

This book introduces foundational and advanced concepts in artificial intelligence and machine learning, focusing on their real-world applications and societal implications. Covering topics from knowledge representation and model interpretability to deep learning and Generative AI, it includes practical Python implementations and case studies from healthcare, agriculture, and education. Beginning with core concepts such as AI fundamentals, knowledge representation, and statistical techniques, it gradually advances to cover machine learning algorithms, deep learning architectures, and the basics of Generative AI. Detailed discussions of data preprocessing, model training, evaluation metrics, and Python-based implementation make this book both practical and accessible.

- Offers real-world examples and case studies illustrating the societal impact and practical applications of AI and ML technologies

- Discusses data pre-processing techniques, model selection, and evaluation metrics, with practical implementation in Python and in detail

- Explores AI problem-solving processes, knowledge representation, and model training strategies, catering to readers with varying levels of technical expertise

- Covers AI and ML principles, spanning statistical techniques, machine learning algorithms, deep learning structures and Generative AI basics.

- Focuses on societal applications in healthcare, agriculture, and education, addressing challenges faced by elderly and special needs individuals

This book is for professionals, researchers and scholars interested in the application of artificial intelligence and machine learning.

Zielgruppe

Professional Practice & Development and Professional Reference

Autoren/Hrsg.

Malik, Latesh

Arora, Sandhya

Shrawankar, Urmila

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Technische Informatik Eingebettete Systeme
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Schadprogramme (Viren, Trojaner etc.)
• Mathematik | Informatik EDV | Informatik Technische Informatik Quantencomputer, DNA-Computing

Inhaltsverzeichnis

Preface

Acknowledgements

Author biography

1. Introduction to Artificial Intelligence and Machine Learning 2. Problem Solving Methods and Search Strategies 3. Knowledge Representation 4. Machine Learning, Data and Preprocessing 5. Supervised Learning 6: Unsupervised Machine Learning 7. Neural Networks and Deep Learning 8. Generative Artificial Intelligence 9. AI in healthcare: Diagnostics, Treatment, and Beyond 10. AI and ML for agriculture developments 11. AI Transforming Education: Personalized Learning and Intelligent Tutoring Systems 12. Technological uses of AL ML for helping elderly and special needs people

Über Autor(innen)

Latesh Malik is working as Associate Professor & Head of the Department of Computer Science & Engg, Government College of Engineering, Nagpur, Chairman of the Board of Studies, Computer Engineering related branch board, R.T.M. Nagpur University (2022-27). She has completed Ph.D. (Computer Science & Engineering) from Visvesyaraya National Institute of Technology in 2010, M.Tech. (Computer Science & Engineering) from Banasthali Vidyapith, Rajasthan, India and B.E. (Computer Engineering) from the University of Rajasthan, India. She is gold medalist in B.E. and M.Tech. She has teaching experience of 27+ years. She is a life member of ISTE, CSI, and ACM and has more than 160 papers published in International Journal & Conferences. She is the recipient of 2 RPS and 1 MODROBs by AICTE. She guided 30+ PG projects and 12 students completed Ph.D under her guidance. She is the author of 7 books under University Press, India, and CRC Press, USA.

Sandhya Arora is working as full professor in the Department of Computer Engineering, Cummins College of Engineering for Women Pune. She has completed Ph.D. (Computer Science & Engineering) from Jadavpur University Kolkata in 2012, M.Tech. (Computer Science & Engineering) from Banasthali Vidyapith, Rajasthan, India and B.E. (Computer Engineering) from the University of Rajasthan, India. She has teaching experience of 27+ years. She is a life member of ISTE, CSI, and ACM. She has more than 60 research publications. Also, she has written 7 books under University Press, India and CRC Press, USA.

Urmila Shrawankar, PhD, is working as a Professor and Director, School of Computer Science and Engineering, Ramdeobaba University Nagpur (MS), India. She is a recipient of many Awards and grants. She is an author of 02 books, 04 books editor, 25 book chapters and around 200 research papers in International Journals and Conferences of high repute. Also, she has 08 granted, 10 published patents and 20 Copyrights registered. She is serving many journals as editor-in-chief, editorial board member and as member, international advisory board. Moreover, she is serving as reviewer for many refereed Journals and reputed Conferences. She participated in many international conferences worldwide as a Core Organizing Committee member, Technical Program Committee member, Special Session Chair and Session Chair. Dr Urmila is a member of IEEE (SM), ACM(SM), CSI (LM), ISTE (LM), IE (LM), IAENG. Her biography was selected and published in the Marquis Who's Who in the World.