Understanding Models Developed with AI
Language: English
Published by Elsevier Science, 2026
- Softcover
- New
Condition: New
£ 164.09
Quantity: 2 available
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Covers the fundamental concepts needed to develop various types of Artificial Intelligence modelsIncludes MATLAB and Python code, allowing readers to directly implement AI models and see their applications in real-world scenariosEa.
Seller Inventory # 2769883142
- Title
- Understanding Models Developed with AI
- Publisher
- Elsevier Science
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0443441634
- ISBN 13
- 9780443441639
As the primary issues with the adoption of AI/ML models are reliability, transparency, interpretation of results, and bias (data and algorithm) management, this resource give researchers and developers what they need to be able to not only implement AI models, but also interpret and explain them. This is crucial in industries where decision-making processes must be transparent and understandable.
- Covers the fundamental concepts needed to develop various types of Artificial Intelligence models
- Includes MATLAB and Python code, allowing readers to directly implement AI models and see their applications in real-world scenarios
- Each AI model is thoroughly explained, with a focus on making complex concepts accessible to both beginners and advanced users
- Presents case studies from various industries, demonstrating how AI models can be effectively applied and interpreted in different contexts
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Tahir Çetin Akıncı completed his undergraduate studies in the Department of Electrical Engineering at Klaipeda University, Lithuania, in 2000, followed by his master’s degree in 2005 and doctorate in 2010. From 2003 to 2010, he served as a Research Assistant at Marmara University, after which he joined the Department of Electrical Engineering at Istanbul Technical University (ITU), where he earned the title of Associate Professor and, in 2020, was promoted to Professor. At ITU, Dr. Akıncı has held various administrative positions, including Deputy Director of the Institute of Science and Technology and Associate Dean of the Faculty of Electrical and Electronics Engineering. Between 2021 and 2023, Dr. Akıncı was a visiting scholar at the University of California, Riverside (UCR), where he currently serves as an Assistant Project Scientist. His research interests include artificial neural networks, deep learning, machine learning, cognitive systems, signal processing, data analysis, and electrical energy systems.
Musa Yilmaz received his Associate Professor certificate in Electrical-Electronics and Communication Engineering. He works at the University of California, Riverside, and Batman University. He received his M.Sc. degree from Marmara University, Istanbul, Turkey, in 2004, and his Ph.D. degree from the same institution in 2013. From 2015 to 2016, Dr. Yilmaz was a visiting scholar at the Smart Grid Research Center (SMERC) at the University of California, Los Angeles (UCLA). His primary research interests include smart grid technologies, renewable energy, machine learning, and signal processing. Dr. Yilmaz is a partner of the medical company Biosys LLC. He has served as Editor-in-Chief of the Balkan Journal of Electrical and Computer Engineering (BAJECE) and the European Journal of Technique (EJT). Additionally, he is the owner of INESEG, a publishing organization. Dr. Yilmaz has authored over 50 research articles, several book chapters, and frequently delivers invited keynote lectures at international conferences. He has also led his research team as the Principal Investigator in several European projects. He is an IEEE Senior Member.
"About the title" may belong to another edition of this title.
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