Human-in-the-loop machine learning : active learning and annotation for human-centered AI

Human-in-the-loop machine learning active learning and annotation for human-centered AI

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 label...

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Bibliographic Details
Corporate Author: Manning Publications, publisher (publisher)
Other Authors: Monarch, Robert (Munro), author (author)
Format: Online Video
Language:Inglés
Published: [Shelter Island, New York] : Manning Publications [2021]
Edition:[First edition]. Video edition
Subjects:
Machine learning.
Artificial intelligence.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009859318106719
Description
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.
Item Description:"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."
Physical Description:1 online resource (1 video file (13 hr., 43 min.)) : sound, color

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