Overview

In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine learning has emerged as a powerful tool to address this challenge, offering algorithms and techniques to analyze large datasets and uncover hidden patterns, trends, and correlations. However, while machine learning holds immense potential, many professionals and researchers need help to grasp its complex conceptual frameworks and methodologies. Understanding the fundamental principles and practical applications of machine learning is crucial for leveraging its full potential. Focusing on conceptual clarity and practical relevance, Machine Learning Techniques and Industry Applications provides a comprehensive guide to machine learning, from theoretical foundations to real-world applications. Machine Learning Techniques and Industry Applications demystifies machine learning through detailed explanations, examples, and case studies, making it accessible to a broad audience. Whether you're a student, researcher, or practitioner, this book equips you with the knowledge and skills needed to harness the power of machine learning to address diverse challenges. From e-government to healthcare, cyber-physical systems to agriculture, this book explores how machine learning can drive innovation and sustainable development.

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"Pramod Kumar Srivastava is working as dean (student welfare) at Rajkiya Engineering College, Azamgarh (Affiliated to Dr APJ Abdul Kalam Technical University, Lucknow), India. He has a doctorate in mathematics from the University of Allahabad, Allahabad, India. He has several publications in various reputed international journals and international conferences. Dr Srivastava has also published multiple books. His research interests include wireless sensor networks, mathematical modelling, and social networks. He possesses over 15 years of teaching and research expertise, having authored over 30 publications in esteemed international journals, published more than 4 patents, edited 2 books, and provided guidance for Ph.D. candidates. He has successfully guided two PhD student and is presently guiding a few more. Excellence in learning has been his motto since he was a student and the proof of this was the gold medal awarded to him for securing the highest marks in his postgraduation. He has applied this motto in his teaching too, and being well known in his genre, he has been invited to give guest lectures at reputed institutes as well as international conferences. He has been a member of organizing committees as well as technical committees of many international conferences. Ashok Kumar Yadav, with a B.Tech. from AKTU Lucknow, an M.Tech., and Ph.D. from JNU New Delhi, India, holds over seven years of combined teaching and research experience. Currently an assistant professor in the Department of Information Technology at Rajkiya Engineering College in Azamgarh, India. He previously served at the University of Delhi as an assistant professor (On ad-hoc). Dr. Yadav's research spans MADM, blockchain technology, machine learning, and mobility management in mobile communication. His impactful contributions include publications in esteemed journals such as Elsevier, Springer, World Scientific, and Taylor & Francis, alongside presentations at reputable international conferences. Notably, he co-authored ""Mastering Disruptive Technologies"" and holds Six SCIs, two Scopus publications, and six patents. Actively engaged in academia, he reviews for international journals and contributes to program committees at various conferences. He was honored with the Best paper Award in IEEE World Conference on Applied Intelligence and Computing, 2022, held during June 17–19, 2022 and International Conference on Artificial Intelligence and Smart Communication (AISC), held during January 27-29, 2023."

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