Published October 20, 2022
| Version 2022-jose
Software
Open
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components
Authors/Creators
Description
Publication of a paper describing the training materials in The Journal of Open Source Education.
Notes
If you use these training materials, please cite it as below.
Files
fat-forensics/Surrogates-Tutorial-2022-jose.zip
Files
(22.7 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:59d88da1120a88d3cb3a2a4c70ca60c7
|
22.7 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/fat-forensics/Surrogates-Tutorial/tree/2022-jose (URL)