Udemy - Explainable Artificial Intelligence (XAI) with Python torrent

Explainable Artificial Intelligence (XAI) with Python
https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 56 lectures (7h 56m) | Size: 3.07 GB

Simplified Way to Learn XAI

What you'll 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

Requirements
No programming experience needed. You will learn everything you need to know to apply XAI for generating explanations for ML models.