XAI with Python
About Course
With shifting customer sentiment and movements to regulate AI, aspects like interpretability, fairness and safety are becoming more important. This course gives you the tools to help stay ahead of those trends. We learn to build interpretable models and explain those models using LIME, SHAP, PDPs, ICE Plots, ALEs and Friedman's H-stat. The course is ideal for anyone who wants to take their first steps towards becoming an XAI expert.
Course Parts
Course Info
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Outline
00:00 -
Code and Requirements
00:00
Introduction to XAI
Linear Models
Model Agnostic Methods
Student Ratings & Reviews
it is pretty well *explained* haha, great course
A highly effective introductory course for anyone beginning their journey into Explainable AI (XAI). It presents concepts with clarity and precision, balancing theoretical foundations with practical applications. The material is thoughtfully structured, allowing learners to grasp key methods without feeling overwhelmed, making it especially suitable for beginners seeking a solid and accessible starting point.
i love to learn more about advanced machine learning through your institute. thanks for teaching the course
Really helpful!! a great way to get to know the gist XAI
Excellent course! Provides a great level of detail on explainable AI!
Excellent introductory course for those looking to get started with XAI, featuring clear and objective explanations. The content is well-organized and covers the most important methods in both practical and theoretical ways, making it easy to understand even for beginners.
Great course! Highly recommended.
That is what I was looking for and very insightful and intuitive explanations. Thank you.
Since XAI is a new research field, sometimes it is very difficult to find great content on internet about it. This course is gold, because it has good structured content and quality materials.
Exactly what I needed!
The content is clear, concise, and highly relevant for real-world application, directly addressing the industry need for trustworthy and understandable models. It effectively simplifies basic concepts, making it easy for both newcomers and researchers to quickly grasp the core ideas. Highly recommended as a definitive resource on model interpretability.
This course is really well designed and work as a perfect starting point to learn about the XAI. Thank you for this
Complete overview about XAI!! )
Thank you, this is a perfect starting point.
As a starting point for XAI, it's great!
Great Course! I think it could be more mathematical and maybe differentiate interpretability and explainability. I think they are distinct and explainable methods can't always provide interpretation of non interpretable models. Maybe I'm being too strict. I'm new to the field and I'm trying to discern what is right and wrong, and I've seen many specialists giving different definitions for XAI and Interpretable AI. Overall, great start for newbies.
Great job! It is pleasure to learn from it.
Excelent course!!,
Just started the course. Very good so far
This course came highly recommended to me. I have enjoyed every section of the course. I like the easy peasy approach.. I cant find any course better that it on the subject Model explainability and interpretability
