Kniha The Mathematics of Machine Learning Maria Han Veiga

The Mathematics of Machine Learning

Lectures on Supervised Methods and Beyond

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: De Gruyter
Dostupnost: Skladem u dodavatele
Odesíláme za 14-21 dnů
1 172
This book is an introduction to machine learning, with a strong focus on the mathematics behind the...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2024
Stránek
260
EAN
9783111288475
Enbook ID
44707908
Vydavatel
Hmotnost
356
Rozměry
170 x 240

Kompletní popis

This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate students of Mathematics. There is a focus on well-known supervised machine learning algorithms, detailing the existing theory to provide some theoretical guarantees, featuring intuitive proofs and exposition of the material in a concise and precise manner. A broad set of topics is covered, giving an overview of the field. A summary of the topics covered is: statistical learning theory, approximation theory, linear models, kernel methods, Gaussian processes, deep neural networks, ensemble methods and unsupervised learning techniques, such as clustering and dimensionality reduction. This book is suited for students who are interested in entering the field, by preparing them to master the standard tools in Machine Learning. The reader will be equipped to understand the main theoretical questions of the current research and to engage with the field.

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