. Book Description: Methodologies Frameworks and Applications of Machine Learning Editors: [List of Editors] 2024 Pages: [XX] Pramod Kumar Srivastava, Ashok Kumar Yadav In the ever-evolving landscape of technology, Machine Learning stands as a beacon of innovation with the potential to reshape industries and redefine our daily lives. As editors of this comprehensive reference book, "Methodologies Frameworks and Applications of Machine Learning we are thrilled to present a compendium that encapsulates the essence of the latest advancements, theoretical foundations, and practical applications in the realm of Machine Learning. Technology is constantly evolving, and Machine Learning is positioned to become a pivotal tool with the power to transform industries and revolutionize everyday life. This book underscores the urgency of leveraging the latest Machine Learning methodologies and theoretical advancements, all while harnessing a wealth of realistic data and affordable computational resources. Machine Learning is no longer confined to theoretical domains; it is now a vital component in healthcare, manufacturing, education, finance, law enforcement, and marketing, ushering in an era of data-driven decision-making. The book is divided into four distinct parts, each addressing a critical aspect of Machine Learning. Part I delves into the theoretical frameworks and methodologies of Machine Learning, providing a solid foundation for understanding the principles and applications of this technology.

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