Practical Weak Supervision : Doing More with Less Data (Record no. 45809)

MARC details
000 -LEADER
fixed length control field 01577 a2200193 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789355420435
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31 TOK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Tok, Wee Hyong
245 ## - TITLE STATEMENT
Title Practical Weak Supervision : Doing More with Less Data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Shroff/O'Reilly
Place of publication, distribution, etc USA
Date of publication, distribution, etc 2022
300 ## - PHYSICAL DESCRIPTION
Extent 169
520 ## - SUMMARY, ETC.
Summary, etc Most data scientists and engineers today rely on quality labeled data to train their machine learning models. But building training sets manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Amit Bahree, Senja Filipi, and Wee Hyong Tok from Microsoft show you how to create products using weakly supervised learning models. You'll learn how to build natural language processing and computer vision projects using weakly labeled datasets from Snorkel, a spin-off from the Stanford AI Lab. Because so many companies pursue ML projects that never go beyond their labs, this book also provides a guide on how to ship the deep learning models you build. Get a practical overview of weak supervision Dive into data programming with help from Snorkel Perform text classification using Snorkel's weakly labeled dataset Use Snorkel's labeled indoor-outdoor dataset for computer vision tasks Scale up weak supervision using scaling strategies and underlying technologies
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Supervised learning (Machine learning)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Natural language processing (Computer science)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Bahree, Amit
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Filipi, Senja
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

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