Explainable Al (XAI) with Python

Simplified Way to Learn XAI
3.87 (358 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Explainable Al (XAI) with Python
3 563
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

Course Gallery

Explainable Al (XAI) with Python – Screenshot 1
Screenshot 1Explainable Al (XAI) with Python
Explainable Al (XAI) with Python – Screenshot 2
Screenshot 2Explainable Al (XAI) with Python
Explainable Al (XAI) with Python – Screenshot 3
Screenshot 3Explainable Al (XAI) with Python
Explainable Al (XAI) with Python – Screenshot 4
Screenshot 4Explainable Al (XAI) with Python

Charts

Students
Price
Rating & Reviews
Enrollment Distribution
4362666
udemy ID
22/10/2021
course created date
03/02/2022
course indexed date
Bot
course submited by