Explainable Al (XAI) with Python
Simplified Way to Learn XAI
3.75 (355 reviews)
3,560
students
8 hours
content
Jul 2022
last update
$74.99
regular price
What you will learn
Importance of XAI in modern world
Differentiation of glass box, white box and black box ML models
Categorization of XAI on the basis of their scope, agnosticity, data types and explanation techniques
Trade-off between accuracy and interpretability
Application of InterpretML package from Microsoft to generate explanations of ML models
Need of counterfactual and contrastive explanations
Working principles and mathematical modeling of XAI techniques like LIME, SHAP, DiCE, LRP, counterfactual and contrastive explanationss
Application of XAI techniques like LIME, SHAP, DiCE, LRP to generate explanations for black-box models for tabular, textual, and image datasets.
What-if tool from Google to analyze data points and to generate counterfactuals
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4362666
udemy ID
10/23/2021
course created date
2/3/2022
course indexed date
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