Explainable Artificial Intelligence: A Practical Guide: River Publishers Rapids Series on Intelligence in Chips
Autor Parikshit Narendra Mahalle, Yashwant Sudhakar Ingleen Limba Engleză Paperback – 2 dec 2024
Technical topics discussed in the book include:
- Explainable AI overview
- Understanding black box models
- Techniques for model interpretability
- Practical applications of XAI
- Future trends and challenges in XAI
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Specificații
ISBN-13: 9788770047135
ISBN-10: 8770047138
Pagini: 104
Ilustrații: 15
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: River Publishers
Colecția River Publishers
Seria River Publishers Rapids Series on Intelligence in Chips
ISBN-10: 8770047138
Pagini: 104
Ilustrații: 15
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: River Publishers
Colecția River Publishers
Seria River Publishers Rapids Series on Intelligence in Chips
Public țintă
Academic, Postgraduate, and Professional Practice & DevelopmentNotă biografică
Dr. Parikshit Narendra Mahalle is a senior member IEEE and is Professor, Dean Research and Development and Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph.D. from Aalborg University, Denmark and continued as Post Doc Researcher at CMI, Copenhagen, Denmark. He has 23+ years of teaching and research experience. He is an ex-member of the Board of Studies in Computer Engineering, ex-Chairman Information Technology, SPPU and various Universities and autonomous colleges across India. He has 12 patents and has 200+ research publications.
Mr. Yashwant Sudhakar Ingle is presently working at VIIT, Pune as Assistant Professor in Department of AI&DS. He has a total of 15 years work experience. He is pursuing a Ph.D. from SPPU and completed his M.Tech. CSE from Visvesvaraya National Institute of Technology, Nagpur and his B.E. CSE from Amravati University. Mr. Ingle has 4 design patents granted, 1 US patent published, 25 Indian utility patents published, 4 software copyrights and 2 literary research copyrights registered. He has authored a Springer book recently on Data Centric AI: A Beginner’s Guide. He has published 25+ papers in Scopus, Web of Science journals, IEEE and Springer International Conferences and received 4 Best Paper Awards at the RACE National Conference 2021.
Mr. Yashwant Sudhakar Ingle is presently working at VIIT, Pune as Assistant Professor in Department of AI&DS. He has a total of 15 years work experience. He is pursuing a Ph.D. from SPPU and completed his M.Tech. CSE from Visvesvaraya National Institute of Technology, Nagpur and his B.E. CSE from Amravati University. Mr. Ingle has 4 design patents granted, 1 US patent published, 25 Indian utility patents published, 4 software copyrights and 2 literary research copyrights registered. He has authored a Springer book recently on Data Centric AI: A Beginner’s Guide. He has published 25+ papers in Scopus, Web of Science journals, IEEE and Springer International Conferences and received 4 Best Paper Awards at the RACE National Conference 2021.
Cuprins
Preface 1. Explainable Artificial Intellience Overview 2. Understanding Black Box Models 3. Techniques for Model Interpretability 4. Practical Applications of XAI 5. Future Trends and Challenges in XAI Author biography Index
Descriere
This book explores the growing focus on artificial intelligence (AI) systems in both industry and academia. Key topics include an overview of explainable AI, black-box model understanding, interpretability techniques, practical XAI applications, and future trends and challenges in XAI.