Revolutionizing Data Science and Analytics for Industry Transformation
Language: English
Published by IGI Global, 2025
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 395.40
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - The fields of data science and analytics are always evolving. By understanding and navigating the data-driven revolution, advancements can be made in domains such as healthcare, finance, education, and more. Harnessing the power of data in decision-making and problem-solving across industries, industries may advance their methods of data collection, data visualization, and predictive modeling. As such, it is important to stay abreast of the latest developments, methodologies, and trends in data-driven research. Revolutionizing Data Science and Analytics for Industry Transformation contributes to fostering collaboration, innovation, and excellence in data science research. It democratizes access to knowledge and empowers individuals and organizations to thrive in the data-driven era. Covering topics such as outcome prediction, deep reinforcement learning, and Mask Attention BERT Networks, this book is an excellent resource for data scientists, business professionals, policymakers, computer scientists, statisticians, engineers, professionals, researchers, scholars, academicians, and more.…
Seller Inventory # 9798369378687
- Title
- Revolutionizing Data Science and Analytics for Industry Transformation
- Author
- Paul Devasahayam Manuel
- Publisher
- IGI Global
- Publication year
- 2025
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 13
- 9798369378687
- Item weight
- 955 grams
- Dimensions
- 260x183x26 mm
"Synopsis" may belong to another edition of this title.
About the Author
Kalim Uddin Qureshi is an Associate Professor in the Information Science Department at Kuwait University, Kuwait. He holds a Doctor Engineer degree obtained from the Department of Computer Science and Systems Engineering at Muroran Institute of Technology, Japan, awarded by the Japanese Government. Prior to this, he earned a Master of Science in Engineering from the same institution and worked as a Research Student there. Dr. Qureshi's research interests encompass a wide range of areas including Distributed Computing, Grid Computing, Medical Imaging, Information Systems Development, System Performance Measurement, Information Security, and Computer Forensics. With over 8 years of industry-based research and microprocessor-based product development experience, coupled with 24 years of academic teaching and research experience, he brings a wealth of knowledge and expertise to his field. He has extensive experience serving on academic committees, including ABET Accreditation (16 years), Curriculum Committee (24 years), Labs, Library, Computing Facilities planning committee (24 years), and Graduate Program Committee (24 years). Dr. Qureshi has published 58 journal papers, showcasing his contributions to the academic and research community. His dedication to advancing knowledge in his field and his commitment to education make him a valuable asset to Kuwait University and the wider academic community.
V.Thamilarasi received the Ph.D. degree in computer science, with specialization of Digital Image Processing from Periyar University, Salem, Tamilnadu, India, in 2022. She has more than 9 years of working experience as Lecturer, Assistant Professor. She is currently an Assistant Professor in the Department of Computer Science, Sri Sarada College for Women(Autonomous), Salem, Tamilnadu, India. She has published several research papers in prestigious international journals, 2 book chapters and one of her paper received Best Paper Award in 2021. She also got Young Researcher Award in 2023, International Excellence Award in 2023 and A P J Abdul Kalam Award in 2024 . She has been serving as the Reviewer for Elsevier, Springer and Scopus journals. Her area of research interest include Medical Image Processing, Artificial Intelligence, Machine Learning, Computer Vision and Deep Learning.
"About the title" may belong to another edition of this title.
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