Practical Weak Supervision

Practical Weak Supervision: Doing More With Less Data

eBook Details:

  • Paperback: 169 pages
  • Publisher: WOW! eBook (November 9, 2021)
  • Language: English
  • ISBN-10: 1492077062
  • ISBN-13: 978-1492077060

eBook Description:

Practical Weak Supervision: Doing More With Less Data

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, leaving many companies with unfinished ML projects. 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.

  • Get up to speed on the field of weak supervision, including ways to use it as part of the data science process
  • Use Snorkel AI for weak supervision and data programming
  • Get code examples for using Snorkel to label text and image datasets
  • Use a weakly labeled dataset for text and image classification
  • Learn practical considerations for using Snorkel with large datasets and using Spark clusters to scale labeling

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 have pursued ML projects that never go beyond their labs, this Practical Weak Supervision book also provides a guide on how to ship the deep learning models you build.

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