| Description |
1 online resource (424 pages) |
|
text file |
| 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 |
Data mining.
|
|
Exploration de données (Informatique) |
|
Data mining |
| Added Author |
Safari, an O'Reilly Media Company.
|
| Standard No. |
9781617296741 |
|
More Resources