| 000 -LEADER |
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| fixed length control field |
nam a22 7a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
190430b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780692196380 |
| Terms of availability |
(hbk) |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
512.5 |
| Item number |
STR |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Strang, Gilbert |
| 245 ## - TITLE STATEMENT |
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| Title |
Linear algebra and learning from data |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
USA: |
| Name of publisher, distributor, etc |
Wellesley-Cambridge Press, |
| Date of publication, distribution, etc |
2019. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiii, 432 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price type code |
GBP |
| Price amount |
58.99 |
| Unit of pricing |
00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special marices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Deep learning |
|
|---|
| Topical term or geographic name as entry element |
Linear algebra |
|
|---|
| Topical term or geographic name as entry element |
Neural nets |
|
|---|
| Topical term or geographic name as entry element |
Low rank and compressed sensing |
|
|---|
| Topical term or geographic name as entry element |
Special matrices |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |