Practical natural language processing : (Record no. 7631)

MARC details
000 -LEADER
fixed length control field 02052nam a2200241 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220108b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781492054054 (pbk.)
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.35
Item number VAJ
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Vajjala, Sowmya.
245 ## - TITLE STATEMENT
Title Practical natural language processing :
Remainder of title a comprehensive guide to building real-world NLP systems
250 ## - EDITION STATEMENT
Edition statement 1st ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Beijing
Name of publisher, distributor, etc. O'Reilly Media
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent xxvii, 424p.
520 ## - SUMMARY, ETC.
Summary, etc. "Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective"
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Text data mining
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Majumder, Bodhisattwa.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Gupta, Anuj.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Surana, Harshit
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 400
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 481
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 573
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 574
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 575
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 576
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Suppress in OPAC 0
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Total Checkouts Total Renewals Full call number Barcode Checked out Date last seen Date checked out Price effective from Koha item type
    Dewey Decimal Classification     Computer science Plaksha University Library Plaksha University Library 08/01/2022 TLP Book from Gurgaon 14 3 006.35 VAJ 002455 24/09/2024 21/08/2024 21/08/2024 08/01/2022 Book

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