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Book Synopsis
Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive. There's a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create products using weakly supervised learning models.

Practical Weak Supervision

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A Paperback / softback by Wee Hyong Tok, Amit Bahree, Senja Filipi

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    View other formats and editions of Practical Weak Supervision by Wee Hyong Tok

    Publisher: O'Reilly Media
    Publication Date: 31/10/2021
    ISBN13: 9781492077060, 978-1492077060
    ISBN10: 1492077062
    Also in:
    Operational research Enterprise software

    Description

    Book Synopsis
    Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive. There's a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create products using weakly supervised learning models.

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