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Human-in-the-loop machine learning : active learning and annotation for human-centered AI / Robert (Munro) Monarch

Published
[Shelter Island, New York] : Manning Publications, [2021]
Edition
[First edition].
Video edition.
Physical Description
1 online resource (1 video file (13 hr., 43 min.)) : sound, color
Additional Creators
Monarch, Robert (Munro) and Manning Publications
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Summary
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.
Subject(s)
Genre(s)
Duration
["13:43:00"]
Sound Characteristics
digital
Digital File Characteristics
video file
Form of work
Instructional films
Note
"In video editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video."
View MARC record | catkey: 46154804