Machine Learning with oneAPI (Record no. 1432074)

MARC details
000 -LEADER
fixed length control field 01981nam a22002417a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250620151831.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250620b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032493114
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
245 ## - TITLE STATEMENT
Title Machine Learning with oneAPI
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton :
Name of publisher, distributor, etc. CRC Press/T&F,
Date of publication, distribution, etc. 2024.
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 195p.
Other physical details : ill.
Dimensions ; 23cm.
500 ## - GENERAL NOTE
General note Includes index
520 ## - SUMMARY, ETC.
Summary, etc. oneAPI is a unified programming model and software development kit (SDK) from Intel that empowers software developers to generate high-performance applications that can run on different devices, comprising CPUs, GPUs, FPGAs, and other accelerators. It lets developers write code once and deploy it on multiple architectures, decreasing the complexity as well as the cost and time of software development. One of the significant strengths of oneAPI is in its capability to support an eclectic range of devices and architectures, including artificial intelligence, high-performance computing, and data analytics. Along with libraries, tools, and compilers, oneAPI makes it cool for developers to create optimized code for an extensive variety of applications, making it an indispensable tool for any developer who wants to create high-performance software and reap the benefit of the latest hardware technologies. The versatility of oneAPI, by means of appropriate theory and practical implementation with the latest tools in machine learning, has been presented in a simple yet effective way in this book that caters to everyone’s needs. Come on, let’s unleash the true power of our code across varied
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
9 (RLIN) 480917
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Decision trees
9 (RLIN) 474560
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Cluster Techniques
9 (RLIN) 813512
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Support vector machines
9 (RLIN) 813513
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Vasudevan Shriram K.
Relator term author.
9 (RLIN) 813514
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Koha item type Textual
Classification part D65,8(B):(S:72) R4
Suppress in OPAC No
Holdings
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 last seen Price effective from Koha item type
    Colon Classification (CC)     Central Science Library Central Science Library 2024-11-29 Shivam Book Service   D65,8(B):(S:72) R4 SL1656117 2025-06-20 2025-06-20 Textual
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