Advancements in Machine Learning and Natural Language Processing: Innovations an

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Bridging the gap between research and practice, it highlights topics such as knowledge extraction, AI ethics, and the societal impacts of big data. Targeted at researchers, educators, and professionals, it serves as a vital guide for beginners and a comprehensive reference for experts seeking to stay ahead in the rapidly evolving field of AI.

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Deep Generative Modeling

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Published by Springer International Publishing in 2022, this hardcover book delves into the theory and applications of deep generative models. With a total of 197 pages, the textbook covers topics in a clear and comprehensive manner, making it a valuable resource for students and professionals in the field.

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