ISBN:
9781617296741
Language:
English
Pages:
1 online resource (424 pages)
Edition:
1st edition
Keywords:
Electronic books ; local
Abstract:
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 create 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.
Note:
Online resource; Title from title page (viewed July 19, 2021)
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Mode of access: World Wide Web.
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