Deep Learning in Science (Record no. 814567)

MARC details
000 -LEADER
fixed length control field 01748nam a22002297a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240115s2021 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108845359
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9781108845359
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number BAL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Baldi, Pierre
9 (RLIN) 198910
Relator term author
245 ## - TITLE STATEMENT
Title Deep Learning in Science
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge :
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. c2021
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 371 p.
Other physical details : ill
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY<br/><br/>This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with the foundations of the theory and building it up, this is essential reading for any scientists, instructors, and students interested in artificial intelligence and deep learning. It provides guidance on how to think about scientific questions, and leads readers through the history of the field and its fundamental connections to neuroscience. The author discusses many applications to beautiful problems in the natural sciences, in physics, chemistry, and biomedicine. Examples include the search for exotic particles and dark matter in experimental physics, the prediction of molecular properties and reaction outcomes in chemistry, and the prediction of protein structures and the diagnostic analysis of biomedical images in the natural sciences. The text is accompanied by a full set of exercises at different difficulty levels and encourages out-of-the-box thinking.
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) 879947
Topical term or geographic name entry element Science Technological Innovations
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781108845359.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781108845359.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://assets.cambridge.org/97811088/45359/frontmatter/9781108845359_frontmatter.pdf">https://assets.cambridge.org/97811088/45359/frontmatter/9781108845359_frontmatter.pdf</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
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 due Date last seen Date last checked out Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Hardcover     Circulation Section Circulation Section Circulation Section 09/01/2024 39 Purchased 18213.13 1 006.31 BAL 98570 29/05/2024 08/05/2024 08/05/2024 2023-2024 18213.13 09/01/2024 Lending Collection