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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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      Book details

      Publisher O'Reilly Media
      Published 31 October 2021
      ISBN-13 9781492077060
      978-1492077060
      ISBN-10 1492077062
      Also in:
      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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