Human-in-the-Loop Machine Learning

Released on by Robert Munro
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  • Human-in-the-Loop Machine Learning Book Detail

  • Author : Robert Munro
  • Release Date : 2021-07-20
  • Publisher : Simon and Schuster
  • Genre : Computers
  • Pages : 422
  • ISBN 13 : 1617296740
  • File Size : 74,74 MB
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Human-in-the-Loop Machine Learning by Robert Munro PDF Summary

Book Description: Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.

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