Handbook of Machine Learning for Computational Optimization: Applications and Case Studies 1st Edition by Vishal Jain, Sapna Juneja, Abhinav Juneja, and Ramani Kannan is a comprehensive resource that delves into the latest machine learning developments and their applications in computational optimization. This edition emphasizes a predictive and futuristic approach, showcasing how machine learning serves as a promising tool for enhancing processes and achieving sustainable solutions.
 
By integrating robust research, evidence-based practices, and compelling narratives, the text fosters a deeper understanding of efficient algorithms, optimal prediction, execution, and decision-making strategies. It is an invaluable resource for undergraduate students, researchers, professionals, and application designers seeking to enhance their knowledge in machine learning and computational optimization.
 
This high-quality PDF eBook features a professional design and interactive content, allowing you to easily navigate between chapters and sections through clickable links.
 
Handbook of Machine Learning for Computational Optimization: Applications and Case Studies 1st Edition by Vishal Jain, Sapna Juneja, Abhinav Juneja, and Ramani Kannan, published by CRC Press in 2024, is available in interactive PDF format, with Print ISBN: 0367685450, 9780367685454 and eTextbook ISBN: 1000455688, 9781000455687. This 1st edition is categorized under Computing & IT, making it an invaluable asset for those aiming to excel in applying machine learning techniques to computational optimization challenges. Purchase this eBook and save up to 80% at Ebookworm.
 
About the Authors:
 
Vishal Jain: Dr. Vishal Jain is an Associate Professor in the Department of Computer Science and Engineering at Sharda University, Greater Noida, India. He has authored over 70 research papers and edited more than 10 books with reputed publishers. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks.
 
Sapna Juneja: Dr. Sapna Juneja is a Professor at IMS, Ghaziabad, India, with over 16 years of teaching experience. She completed her doctorate in Computer Science and Engineering from M.D. University, Rohtak. Her research focuses on software reliability of embedded systems, and she has guided several research theses in computer science and engineering.
 
Abhinav Juneja: Dr. Abhinav Juneja is a Professor in the Department of Information Technology at KIET Group of Institutions, Delhi-NCR, Ghaziabad, India. With over 19 years of teaching experience, he completed his doctorate in Computer Science and Engineering from M.D. University, Rohtak. His research interests include software engineering, computer networks, and artificial intelligence.
 
Ramani Kannan: Dr. Ramani Kannan is a Senior Lecturer at the Center for Smart Grid Energy Research, Institute of Autonomous Systems, Universiti Teknologi PETRONAS (UTP), Malaysia. He has over 15 years of experience in prestigious educational institutes and has published more than 130 papers in reputed national and international journals and conferences. His research areas include power electronics and drives.