Implement NLP use‑cases using BERT : (Record no. 11077)

MARC details
000 -LEADER
fixed length control field 01432nam a22002777i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250819205442.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250722s2022 ii ao||fr|||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789390684625
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GaU‬‬
Transcribing agency EG-GaU‬‬
Modifying agency EG-GaU‬‬
Description conventions rda
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 006.3
Item number A.M.A
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Amandeep,
Relator term author.
9 (RLIN) 60455
245 10 - TITLE STATEMENT
Title Implement NLP use‑cases using BERT :
Remainder of title explore the implementation of NLP tasks using the deep learning framework and Python /
Statement of responsibility, etc. Amandeep.
250 ## - EDITION STATEMENT
Edition statement 1st edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New Delhi :
Name of producer, publisher, distributor, manufacturer BPB Publications,
Date of production, publication, distribution, manufacture, or copyright notice 2021.
300 ## - PHYSICAL DESCRIPTION
Extent 164 pages :
Other physical details illustrations ;
Dimensions 23 cm.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical reference.<br/>
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Introduction to NLP and Use‑Cases ‡ 2: Text Classification Methods ‡ 3: Named Entity Recognition ‡ 4: BERT Overview and Applications ‡ 5: BERT for Text Classification ‡ 6: BERT Code Implementation.<br/>
520 ## - SUMMARY, ETC.
Summary, etc. Aimed at data scientists and ML engineers, this book offers a practical guide to implementing real‑world NLP applications using BERT and Python. Contains clear explanations and Python code examples.:contentReference[oaicite:1]{index=1}<br/>
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Natural language processing.
9 (RLIN) 60456
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Media and mass communication Library Media and mass communication Library B4 08/19/2025   006.3 A.M.A MA0002507 08/19/2025 C.1 08/19/2025 Books