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...
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| Formato: | Grabación no musical |
| Idioma: | Inglés |
| Publicado: |
[Shelter Island, New York] :
Manning Publications
[2021]
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009852337606719 |
| Sumario: | 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. |
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| Descripción Física: | 1 online resource (1 audio file) |
