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Supervised Learning

Mathematical Foundations and Real-world Applications

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This book discusses the relevance of probabilistic supervised learning, to the pursuit of automated and reliable prediction of an unknown that is in a state of relationship with another variable. This book is valuable for students across disciplines, including students of computational sciences, statistics, and mathematics.

Bibliografische Angaben

April 2025, ca. 344 Seiten, Englisch
Taylor and Francis
978-1-032-28330-2

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