Latesh Malik (GCE Nagpur), Sandhya Arora (CCEW Pune), Urmila Shrawankar (RTM Univ.)
Artificial Intelligence and Machine Learning for Real-World Applications
A Beginner's Guide with Case Studies
Latesh Malik (GCE Nagpur), Sandhya Arora (CCEW Pune), Urmila Shrawankar (RTM Univ.)
Artificial Intelligence and Machine Learning for Real-World Applications
A Beginner's Guide with Case Studies
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This book introduces foundational and advanced concepts in artificial intelligence and machine learning, focusing on their real-world applications and societal implications.
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This book introduces foundational and advanced concepts in artificial intelligence and machine learning, focusing on their real-world applications and societal implications.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 302
- Erscheinungstermin: 15. Oktober 2025
- Englisch
- Abmessung: 234mm x 156mm x 16mm
- Gewicht: 464g
- ISBN-13: 9781032873459
- ISBN-10: 1032873450
- Artikelnr.: 74063688
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 302
- Erscheinungstermin: 15. Oktober 2025
- Englisch
- Abmessung: 234mm x 156mm x 16mm
- Gewicht: 464g
- ISBN-13: 9781032873459
- ISBN-10: 1032873450
- Artikelnr.: 74063688
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
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 2 books, 04 books editor, 25 book chapters and around 200 research papers in International Journals and Conferences of high repute. Also, she has 8 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.
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
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
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
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







