Practical weak supervision /Wee Hyong Tok doing more with less data

By:

Tok, Wee Hyong

Contributor(s):

Amit Bahree, Senja Filipi

Language: English Publication details: c2022 Sebastopol, CA O'Reilly MediaEdition: 1st edDescription: xvii, 169 p. ill. 23 cmISBN:

9789355420435

Subject(s):

Computer vision; Natural language processing (Computer science); Supervised learning (Machine learning)

DDC classification:

006.31 TOK

Summary: 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.

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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
English Books	Anna Centenary Library 3RD FLOOR, A WING	006.31 TOK (Browse shelf(Opens below))		Available	692438
English Books	Anna Centenary Library 3RD FLOOR, A WING	006.31 TOK;1 (Browse shelf(Opens below))	1	Available	692439

Reprint, 2021

Includes index

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.

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Practical weak supervision /Wee Hyong Tok doing more with less data

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