Machine Learning for Engineers (Record no. 814520)
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000 -LEADER | |
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fixed length control field | 01888nam a22002417a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240104s2023 |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781316512821 |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
ISSN-L | 9781316512821 |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | English |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 620.00285 |
Item number | SIM |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Simeone, Osvaldo |
9 (RLIN) | 879334 |
Relator term | author |
245 ## - TITLE STATEMENT | |
Title | Machine Learning for Engineers |
250 ## - EDITION STATEMENT | |
Edition statement | 1st |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Cambridge : |
Name of publisher, distributor, etc. | Cambridge University Press, |
Date of publication, distribution, etc. | c2023 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xxii, 578 p. |
Other physical details | : ill |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Includes Bibliographical References and Index |
520 ## - SUMMARY, ETC. | |
Summary, etc. | SUMMARY<br/>This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slides and solutions for instructors, this is the ideal introduction to machine learning for engineering students of all disciplines. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 845 |
Topical term or geographic name entry element | Machine Learning |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 1280 |
Topical term or geographic name entry element | Engineering Data Processing |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Link text | TOC |
Uniform Resource Identifier | <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781316512821.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781316512821.pdf</a> |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Link text | WEB LINK |
Uniform Resource Identifier | <a href="https://www.book2look.com/book/9781316512821">https://www.book2look.com/book/9781316512821</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Physical Form | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Stock Type | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Budget Year | Cost, replacement price | Accession Date | Koha item type |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dewey Decimal Classification | Text, Hardcover | Reference Section | Reference Section | Reference Section | 01/01/2024 | 22 | Purchased | 20034.81 | 620.00285 SIM | 98523 | 16/02/2024 | 2023-24 | 20034.80 | 01/01/2024 | Reference Collection |