The Essentials of Machine Learning: Theory to Applications

The Essentials of Machine Learning: Theory to Applications (eBook)

Description

Machine learning has become a cornerstone of modern technology, driving innovation across fields such as healthcare, finance, transportation, and more. Yet, understanding its core principles and effectively applying its methods remains a challenge for many. *The Essentials of Machine Learning: Theory to Applications* bridges this gap by providing a balanced exploration of the theoretical foundations and practical applications of machine learning. This book is designed to cater to students, researchers, and professionals, offering a clear and structured approach to learning. It covers essential topics such as supervised and unsupervised learning, neural networks, decision trees, and advanced techniques like deep learning and reinforcement learning. Each concept is paired with real-world applications, demonstrating how these methods solve complex problems in various industries. Initiated in early 2023 and completed after two years of meticulous effort, this book reflects the commitment to making machine learning accessible and actionable. Whether you're a beginner exploring the field or a seasoned professional seeking to deepen your expertise, this book provides the tools and insights needed to excel. Comprehensive yet approachable, *The Essentials of Machine Learning: Theory to Applications* is your guide to mastering the intricacies of machine learning and applying them to drive meaningful results.

About the Authors

Dr. Kuldeep Singh is an Associate Professor at Arkansas Tech University, College of Business, specializing in operations and supply chain management. With a strong academic foundation and practical expertise, he has co-authored numerous journal articles in these fields, contributing valuable insights to both research and industry practices. His teaching focuses on equipping students with the knowledge and skills required to excel in operations and supply chain management. Dr. Singh is committed to fostering academic excellence and preparing future leaders in the business world.

Dr. George Kurian is an Assistant Professor at Eastern New Mexico University, College of Business, with a specialization in operations and supply chain management. He has co-authored numerous journal articles, contributing to advancements in these fields through his research. Dr. Kurian’s teaching centers on empowering students with practical and theoretical knowledge in operations and supply chain management. His dedication to education and research reflects his commitment to shaping the next generation of business professionals.

Dr. Prathamesh Muzumdar is a distinguished scholar specializing in design science and behavioral information systems, with a focus on using algorithms to explore behavioral traits. He has co-authored numerous journal articles spanning the fields of information systems, educational research, and healthcare science. Dr. Muzumdar’s teaching integrates his expertise, offering students an in-depth understanding of the intersection of technology, behavior, and system design. His commitment to interdisciplinary research and education aims to advance both academic knowledge and practical applications in his fields of study.

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