The Mathematics of Machine Leaing: Lectures on Supervised Methods and Beyond (De Gruyter Textbook)

by: Maria Han Veiga (Author),François Gaston Ged(Author)

Publisher: De Gruyter
Edition: 1st

Publication Date: May 20, 2024

Language: English

Print Length: 210 pages

ISBN-10: 3111288471

ISBN-13: 9783111288475

Book Description

This book is an introduction to machine leaing, 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 leaing 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 leaing theory, approximation theory, linear models, keel methods, Gaussian processes, deep neural networks, ensemble methods and unsupervised leaing 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 Leaing. The reader will be equipped to understand the main theoretical questions of the current research and to engage with the field.
This book is an introduction to machine leaing, 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 leaing 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 leaing theory, approximation theory, linear models, keel methods, Gaussian processes, deep neural networks, ensemble methods and unsupervised leaing 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 Leaing. The reader will be equipped to understand the main theoretical questions of the current research and to engage with the field. Read more