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The book is also a valuable reference for researchers and practitioners in the fields of applied discrete mathematics, machine learning, data mining, and biostatistics. Enrico Capobianco,
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ISBN-13: 9783658203665, 978-3658203665. In particular, he presents new approaches for uncovering and describing stress and usage patterns that are related to failures of selected components of the
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Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with
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This book introduces Bayesian reasoning and Gaussian processes into machine learning applications. It is very effective for machine learning algorithms in handling missing data and extracting
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ISBN-13: 9789813229686, 978-9813229686. This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis
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ISBN-13: 9780128172162, 978-0128172162. Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and
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Mathematical Analysis For Machine Learning And DatAuthor: Dan A Simovici.
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The Title is Mathematical Analysis For Machine Learning And Data Mining. Pages Count - 986. Binding type - Hardcover. COMPUTERS / Data Science / Data Analytics. Category - COMPUTERS / Machine
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Introduction to Algorithms for Data Mining and Machine Learning 9780128172162 Brand New
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This is a great Christmas gift idea. Content Language - English. COMPUTERS / Computer Science. Category - TECHNOLOGY & ENGINEERING / Engineering General. Books are released in many editions and
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