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## Link to Canvas
https://learning.flatironschool.com/courses/7301/pages/machine-learning-interpretability-white-box-models?module_item_id=651782
## Issue Subtype
- [ ] Master branch co…
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- Flood Susceptibility Mapping (FSM) involves identifying areas prone to flooding to mitigate future floods and assess susceptibility.
- Floods are among the most destructive natural disasters, causi…
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|paper| [StrategyAtlas: Strategy Analysis for Machine Learning Interpretability](https://ieeexplore.ieee.org/abstract/document/9695246) |
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## Le speaker
{ Christophe Regouby, data-scientist chez Airbus }
* Twitter handle:
## Sujet de votre conférence
{ Show me your model ! Machine-learning interpretability plots explained } / { M…
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It would be nice to have a description of how the output of this interpretability technique should be understood, a detailed description of the algorithm, or an external link.
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#### Document De…
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**Is your feature request related to a problem? Please describe.**
While cuML provides a powerful suite of GPU-accelerated machine learning algorithms, there is a growing need for comprehensive model…
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### Lesson Title
Responsible machine learning in Python
### Lesson Repository URL
https://github.com/carpentries-incubator/machine-learning-responsible-python
### Lesson Website URL
https://carpe…
gperu updated
2 months ago
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# Assessing Interpretable Models | Practical Cheminformatics
Understanding and comparing the rationale behind machine learning model predictions
[https://patwalters.github.io/practicalcheminformatic…
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https://github.com/slundberg/shap
https://towardsdatascience.com/explainable-ai-interpretability-of-machine-learning-models-412840d58f40
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# Challenge 22 - XAI for Weather Forecasting Models (Transformer Embeddings)
> **Stream 2 - Machine Learning for Earth Sciences applications**
### Goal
Welcome to the XAI Transformer Embedding …