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Overview: Provides a comprehensive understanding of the latest advancements and practical applications of Machine Learning techniques. Machine Learning (ML), a branch of Artificial Intelligence (AI), has gained tremendous momentum in recent years, revolutionizing the way we analyze data, make predictions, and solve complex problems. As researchers and practitioners in the field, the editors of this book recognize the importance of disseminating knowledge and fostering collaboration to further advance this dynamic discipline. How Machine Learning is Innovating Today’s World is a timely book and presents a diverse collection of 25 chapters that delve into the remarkable ways that ML is transforming various fields and industries. It provides a comprehensive understanding of the practical applications of ML techniques. The chapters herein cover a wide range of topics, each contributing a unique perspective to the broader landscape of machine learning. First is a comprehensive analysis of various tokenization techniques and the sequence-to-sequence model in natural language processing. Next, Chapter 2 explores the evaluation of English language readability using ML models, followed by a detailed study of text analysis for information retrieval through natural language processing (NLP) in the subsequent chapter. Recommender systems’ domain of application is discussed in Chapter 16, and the next chapter reviews mood detection, emoji generation, and classification using tokenization and CNN. Chapter 18 delves into a new variation of the exam scheduling problem using graph coloring, and Chapter 19 examines the intersection of software engineering and Machine Learning applications. The book will be extremely useful to professionals, post-graduate research scholars, policymakers, corporate managers, and anyone with technical interests looking to understand how Machine Learning and Artificial Intelligence can benefit their work.
Genre: Non-Fiction > Tech & Devices
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