The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond - De Gruyter Textbook - Maria Han Veiga - Grāmatas - De Gruyter - 9783111288475 - 2024. gada 20. maijs
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Maria Han Veiga
The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond - De Gruyter Textbook

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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.

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2024. gada 20. maijs
ISBN13 9783111288475
Izdevēji De Gruyter
Lapas 210
Izmēri 150 × 220 × 10 mm   ·   356 g
Valoda Vācu  

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