Training Data for Machine Learning: Human Supervision from Annotation to Data Science (Record no. 98797)

MARC details
000 -LEADER
fixed length control field 02185 a2200181 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241122b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355421920
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74015
Cutter SAR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Sarkis Anthony
245 ## - TITLE STATEMENT
Title Training Data for Machine Learning: Human Supervision from Annotation to Data Science
250 ## - EDITION STATEMENT
Edition statement 1st Ed
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Shroff Publishers & Distributors Pvt. Ltd.
Date of publication, distribution, etc 2023
Place of publication, distribution, etc Mumbai
300 ## - PHYSICAL DESCRIPTION
Extent 332
520 ## - Remark
Summary, etc Your training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data. But while training data is the foundation for successful AI and machine learning, there are few comprehensive resources to help you ace the process.<br/><br/>In this hands-on guide, author Anthony Sarkis--lead engineer for the Diffgram AI training data software--shows technical professionals, managers, and subject matter experts how to work with and scale training data, while illuminating the human side of supervising machines. Engineering leaders, data engineers, and data science professionals alike will gain a solid understanding of the concepts, tools, and processes they need to succeed with training data.<br/><br/>With this book, you'll learn how to:<br/><br/>Work effectively with training data including schemas, raw data, and annotations<br/>Transform your work, team, or organization to be more AI/ML data-centric<br/>Clearly explain training data concepts to other staff, team members, and stakeholders<br/>Design, deploy, and ship training data for production-grade AI applications<br/>Recognize and correct new training-data-based failure modes such as data bias<br/>Confidently use automation to more effectively create training data<br/>Successfully maintain, operate, and improve training data systems of record.<br/><br/>Source: https://www.amazon.in/Training-Data-Machine-Learning-Supervision/dp/9355421923/ref=sr_1_1?crid=1AFW1ACTPHJRK&dib=eyJ2IjoiMSJ9.7TzTdUy2fSwm8k8_Ltv3PQ.26ZqVNfS_ECU6gE7_qGYD_oiXj72aXP0zPv_ckJWt10&dib_tag=se&keywords=9789355421920&qid=1732269985&sprefix=9789359445892%2Caps%2C296&sr=8-1
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a Business Analytics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Collection Type Full call number Barcode Date last seen Cost, replacement price Koha item type
    Dewey Decimal Classification     Reference book Main Library Main Library Analytics 28/10/2024 Shroff Publishers 1320.00 Indian Book 005.74015 SAR 119565 28/10/2024 1650.00 Book

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