The Mathematics of Machine Learning (Record no. 1432935)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01959cam a22002535i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250630164515.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240130s2024 mau 000 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783111288475 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | CSL |
| Transcribing agency | CSL |
| 041 ## - LANGUAGE CODE | |
| Source of code | eng |
| Language code of text/sound track or separate title | eng |
| 084 ## - COLON CLASSIFICATION NUMBER | |
| Classification number | D65,8(B):(S:72) R4 |
| Assigning agency | CSL |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Veiga, Maria Han |
| Relator term | author. |
| 9 (RLIN) | 814573 |
| 245 14 - TITLE STATEMENT | |
| Title | The Mathematics of Machine Learning |
| Remainder of title | : Lectures on Supervised Methods and Beyond |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Boston : |
| Name of publisher, distributor, etc. | De Gruyter, |
| Date of publication, distribution, etc. | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | ix, 199p. |
| Other physical details | : col. ill. |
| Dimensions | ; 24 cm. |
| 500 ## - GENERAL NOTE | |
| General note | Includes Bibliography and Index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Statistical learning theory. |
| 9 (RLIN) | 814574 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Algorithms. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Kernel methods. |
| 9 (RLIN) | 814504 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning. |
| 9 (RLIN) | 480917 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ged, François Gaston |
| Relator term | co-author. |
| 9 (RLIN) | 814575 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Colon Classification (CC) |
| Suppress in OPAC | No |
| Koha item type | Textual |
| Edition | 2nd ed. |
| Classification part | D65,8(B):(S:72) R4 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date due | Date last seen | Date last checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Colon Classification (CC) | Central Science Library | Central Science Library | 2024-10-22 | Classic Book Service | 1 | D65,8(B):(S:72) R4 | SL1655944 | 2026-03-06 | 2026-02-20 | 2026-02-20 | 2025-06-25 | Textual |