Dalia Chakrabarty

Supervised Learning (eBook, ePUB)

Mathematical Foundations and Real-world Applications

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 29. April 2025
• Englisch
• ISBN-13: 9781040324110
• Artikelnr.: 73367467

Autorenporträt

Dr. Dalia Chakrabarty is a Reader in Statistical Data Science in the Department of Mathematics at the University of York. Her PhD is from St. Cross College in the University of Oxford, and she works on the development of methods to permit the probabilistic learning of random variables of various kinds, given real world data that is diversely challenging.

Inhaltsangabe

Foreword Preface Acknowledgements 1. Inter
variable relationships 2. Bayesianism 3. Supervised learning & prediction, using Gaussian Processes 4. Covariance kernels suitable for real
world data 5. Learning a high
dimensional function 6. A self
assembled prior on correlation matrices Bibliography Index