Slides for the 2022 RMIT AI/Data Science Professional lectorial.
| Slides | Description |
|---|---|
RMIT-lectorial.ipynb |
Overview of modular surrogate explainers for image and tabular data. |
This presentation is created with RISE and
offered as a Jupyter Notebook.
To launch the slideshow (based on the reveal.js
framework) install the dependencies (pip install -r requirements.txt) and
open the notebook within a Jupyter Notebook environment (not Jupyter Lab);
next:
- execute all cells, and
- launch RISE presentation by clicking the bar chart icon
(
) shown in the
Jupyter Notebook toolbar.
More details are available on https://events.fat-forensics.org/2022_rmit-lectorial.