Description
[ DevCourseWeb.com ] Explainable Artificial Intelligence (XAI) with Python
If You Need More Stuff, kindly Visit and Support Us -->> 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.
If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com
Get More Tutorials and Support Us -->> https://FreeCourseWeb.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
