The Mathematics of Machine Learning
lectures on supervised methods and beyond
$67.99
- Paperback
210 pages
- Release Date
19 May 2024
Summary
Decoding Machine Learning: A Mathematical Journey
This book serves as an introduction to machine learning, emphasizing the mathematical foundations underpinning standard algorithms and techniques. It is tailored for advanced undergraduate and early graduate students in Mathematics.
The focus is on well-known supervised machine learning algorithms, with detailed existing theory to provide theoretical guarantees. The book features intuitive proofs and concise, precise expositi…
Book Details
| ISBN-13: | 9783111288475 |
|---|---|
| ISBN-10: | 3111288471 |
| Series: | De Gruyter Textbook |
| Author: | Maria Han Veiga, François Gaston Ged |
| Publisher: | De Gruyter |
| Imprint: | De Gruyter |
| Format: | Paperback |
| Number of Pages: | 210 |
| Release Date: | 19 May 2024 |
| Weight: | 356g |
| Dimensions: | 240mm x 170mm |
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About The Author
Maria Han Veiga
Dr. Maria Han Veiga Assistant professor of mathematics, Ohio State University, Ohio, USA Prior to joining Ohio State, she was a postdoctoral fellow at the University of Michigan in Mathematics and Data Science (MIDAS). She obtained her PhD at the University of Zurich. Her research focuses on numerical analysis for hyperbolic partial differential equations and scientific machine learning.
Dr. François Ged Postdoctoral fellow, University of Vienna, Austria He obtained his PhD in Mathematics at the University of Zurich, Switzerland, after which he was a postdoc fellow at the École Polytechnique Fédérale de Lausanne. His research interests gravitate around the theory of deep learning and reinforcement learning, as well as mathematical population genetics and growth-fragmentation processes.
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