Information Theoretic Methods In Data Science
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This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive
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This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It com
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A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information
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Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, sign