MARC details
| 000 -LEADER |
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| fixed length control field |
02605nam a22003497a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
IIITD |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240928020004.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
231011b xxu||||| |||| 00| 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
2019040762 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781108470049 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
LBSOR/DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
IIITD |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
Q325.5 |
| Item number |
.D45 2020 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
510 |
| Edition number |
23 |
| Item number |
DEI-M |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Deisenroth, Marc Peter |
| 245 10 - TITLE STATEMENT |
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| Title |
Mathematics for machine learning |
| Statement of responsibility, etc |
by Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
London : |
| Name of publisher, distributor, etc |
Cambridge University Press, |
| Date of publication, distribution, etc |
©2020 |
| 263 ## - PROJECTED PUBLICATION DATE |
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| Projected publication date |
1912 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
iii, 411 p. : |
| Other physical details |
ill. ; |
| Dimensions |
26 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
This includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Title |
1. Introduction and motivation |
| -- |
2. Linear algebra |
| -- |
3. Analytic geometry |
| -- |
4. Matrix decompositions |
| -- |
5. Vector calculus |
| -- |
6. Probability and distribution |
| -- |
7. Continuous optimization |
| -- |
8. When models meet data |
| -- |
9. Linear regression |
| -- |
10. Dimensionality reduction with principal component analysis |
| -- |
11. Density estimation with Gaussian mixture models |
| -- |
12. Classification with support vector machines |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability, and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models, and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts"-- |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning Mathematics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Mathematics |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Faisal, A. Aldo |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ong, Cheng Soon |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Online version: |
| Main entry heading |
Deisenroth, Marc Peter. |
| Title |
Mathematics for machine learning. |
| Place, publisher, and date of publication |
Cambridge, United Kingdom ; New York : Cambridge University Press, 2020. |
| International Standard Book Number |
9781108679930 |
| Record control number |
(DLC) 2019040763 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
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| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| Koha issues (borrowed), all copies |
7 |
