Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond

The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond

Han Veiga, Maria
Gaston Ged, François

Paperback

Series: de Gruyter Textbook

General ComputersGeneral Mathematics

Publisher Price: $70.99

ISBN10: 3111288471
ISBN13: 9783111288475
Publisher: de Gruyter
Published: May 20 2024
Pages: 210
Weight: 0.75
Height: 0.44 Width: 6.69 Depth: 9.61
Language: English

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.

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