An invaluable companion for anyone who wants a deep understanding of whats under the hood of often inscrutable machines Melanie Mitchell A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoi...Loe edasi...
A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, det...Loe edasi...
Build a solid foundation in the core math behind machine learning algorithms with this comprehensive guide to linear algebra, calculus, and probability, explained through practical Python examples Purchase of the print or Kindle book incl...Loe edasi...
Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walther, Martin Weiser
Sari: De Gruyter Proceedings in Mathematics
(Ilmumisaeg: 06-May-2025, Hardback, Kirjastus: De Gruyter, ISBN-13: 9783111375854)
Mathematical optimization and machine learning are closely related. This proceedings volume of the Thematic Einstein Semester 2023 of the Berlin Mathematics Research Center MATH+ collects recent progress on their interplay in topics such as discre...Loe edasi...
This book explores multivariate statistics from traditional and modern perspectives. It covers core topics like multivariate normality, MANOVA, and canonical correlation analysis, as well as modern concepts such as gradient boosting, random forest...Loe edasi...
This publication offers a comprehensive exploration of optimization techniques, fuzzy logic, and their integration with machine learning. It covers fundamental concepts, mathematical foundations, algorithms, and applications, providing a holistic un...Loe edasi...
In the rapidly evolving field of artificial intelligence, this book serves as a crucial resource for understanding the mathematical foundations of AI. It explores the intricate world of tensors, the fundamental elements powering todays advanced d...Loe edasi...
This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. T...Loe edasi...
(Ilmumisaeg: 24-Dec-2024, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262049443)
The aim of this book is to provide the simplest formulations that can be derived from first principles with simple arguments-- A comprehensive and cutting-edge introduction to the foundations and modern applications of learning theory....Loe edasi...
Provides a complete and concise overview of deep learning using the language of mathematics. Provides a self-contained background on machine learning and optimization algorithms, and progresses through the key ideas of deep learning. ...Loe edasi...
Mathematical Engineering of Deep Learning provides a complete and concise overview of deep learning using the language of mathematics. The book provides a self-contained background on machine learning and optimization algorithms, and progr...Loe edasi...
In recent years, non-linear optimization has had a crucial role in the development of modern techniques at the interface of machine learning and imaging. The present book is a collection of recent contributions in the field of optimization, either...Loe edasi...
Symbolic regression (SR) is one of the most powerful machine learning techniques that produces transparent models, searching the space of mathematical expressions for a model that represents the relationship between the predictors and the...Loe edasi...
(Ilmumisaeg: 16-Jul-2024, Hardback, Kirjastus: Allen Lane, ISBN-13: 9780241586488)
An invaluable companion for anyone who wants a deep understanding of whats under the hood of often inscrutable machines Melanie Mitchell A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoi...Loe edasi...
A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, det...Loe edasi...
(Ilmumisaeg: 30-Jun-2024, Paperback / softback, Kirjastus: Society for Industrial & Applied Mathematics,U.S., ISBN-13: 9781611977875)
The goal of this book is to explore several well-known machine learning and data analysis algorithms from a mathematical and programming perspective. The authors present machine learning methods, review the underlying mathematics, and provide progra...Loe edasi...
Numerical Analysis Meets Machine Learning series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors....Loe edasi...
