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The development of a theoretical foundation for deep learning methods constitutes one of the most active and exciting research topics in applied mathematics.... Læs mere
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Designed with engineers in mind, this self-contained book will equip students with everything they need to apply machine learning principles to real-world engineering... Læs mere
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The idea for this book came from the time the authors spent at the Statistics and Applied Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina starting in fall 2003.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan leveres før jul.
Bemærk: Kan ikke leveres før jul.
The purpose of this book is to provide an account of survival analysis. The authors intend to accomplish it from two fronts: (i) methods in survival analysis developed over the past... Læs mere
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Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable.
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This book explores the application use of machine learning and artificial intelligence in smart agriculture by Identifying and describing... Læs mere
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This book provides a deep insight into the recent techniques which form the backbone of smart environment... Læs mere
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Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience.
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This text provides a first comprehensive introduction to probabilistic numerics, aimed at Masters' and PhD students, as well as postgraduate... Læs mere
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Bayesian modelling is powerful and an increasingly practical tool for thinking about HCI. Intended for researchers and practitioners, this book introduces... Læs mere