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Let Aakash – CEO of Jovian take you through the emerging research area of Explainable Artificial Intelligence in this Masterclass within 40 minutes. Explainable AI is a set of tools and frameworks that help you understand and interpret the predictions of your machine learning models.
00:00 – Introduction and importance
06:03 – Types of explainable AI
12:54 – LIME
16:16 – SHELF
19:53 – DAD
24:09 – Resources
27:32 – Q&A
References:
https://github.com/jphall663/awesome-machine-learning-interpretability
DeepFindr: https://www.youtube.com/watch?v=OZJ1IgSgP9E&list=PLV8yxwGOxvvovp-j6ztxhF3QcKXT6vORU
Kaggle Notebook: https://www.kaggle.com/code/parulpandey/intrepreting-machine-learning-models
Interpretable ML Book: https://christophm.github.io/interpretable-ml-book/
InterpreteML: https://interpret.ml/
Shap library: https://github.com/slundberg/shap
Partial dependency graphs: https://www.youtube.com/watch?v=uQQa3wQgG_s
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