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Type: Print Book
Genre: Education & Language
Language: English
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Description

Deep learning represents one of the most transformative developments in artificial
intelligence and computational sciences of the 21st century. This revolutionary approach to
machine learning has fundamentally altered how we approach complex problems across
diverse domains, from computer vision and natural language processing to scientific
discovery and medical diagnosis. The emergence of deep learning has marked a paradigm
shift from traditional feature engineering approaches to end-to-end learning systems that can
automatically discover hierarchical representations from raw data.

About the Authors

Dr. Nagunuri Rajender is an experienced academician and researcher with a Ph.D. in Computer Science and Engineering from Osmania University and over 18 years of teaching experience. His expertise spans Machine Learning, the Internet of Things (IoT), and Cloud Computing, with a focus on making complex technologies accessible and relevant to students. He has authored two academic books, Internet of Things and Cloud Applications in Research and Machine Learning, and has published 10 research papers in reputed national and international journals. In 2025, he received the "Best Teacher Award" from KIWI Innovate and the Journal of Science, Technology and Research for his excellence in teaching and academic contribution. His work reflects a commitment to academic excellence, practical learning, and inspiring future technologists.

Mr. Adepu Rajesh is currently serving as an Associate Professor in the Department of Computer Science and Engineering at Guru Nanak Institute of Technology, Hyderabad. He holds a B.Tech and M.Tech in Computer Science and Engineering from JNTU Hyderabad and is presently pursuing his Ph.D. in Computer Science and Engineering from Sardar Patel University, Balaghat. With over 20 years of academic experience, Mr. Rajesh has guided numerous undergraduate projects across various domains. He has to his credit 25 publications in reputed international journals, 7 patents, and 9 conference presentations. He is a Wipro Certified Faculty member and serves as an Innovation Ambassador under the Institution’s Innovation Council at GNIT. His research interests span across Artificial Intelligence, Deep Learning, and Cryptography. He is also an active member of the International Association of Engineers (IAENG) and a life member of the Indian Society for Technical Education (ISTE).

Book Details

ISBN: 9789367177297
Publisher: Geh Press
Number of Pages: 337
Dimensions: A4
Interior Pages: B&W
Binding: Paperback (Perfect Binding)
Availability: In Stock (Print on Demand)

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