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
-
Outline
00:00 -
Code and Requirements
00:00
Introduction to XAI
Linear Models
Model Agnostic Methods
Student Ratings & Reviews
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
Excellent course! well done.
Excellent overview and easy explanations Thank you
Well crafted for beginners! Very organised and clear explanations.
This course is a great way to get into the world of XAI and its practical implementations.
I am new to XAI and will use this tool in my research. This course really helped me understand basic ideas in a very clear and concise way. Concepts are organised very well and are easy to understand.
Good
A very informative introductory course with good examples.
Very well crafted course for beginners to xAI. Recommend it to everyone starting new.
This course is amazing! The content is very adequate and the flow is simply wonderful!
Really helpful for understanding explainable AI. Practical, as well as theoretical
There are many courses on AI/ML, but they usually leave me wanting as in the real world, people only trust models that they can understand. This is the first course I've seen that tries to solve this problem. The content and explanations are great!
Great Course!
It's a great starting point to build more knowledge not only about the XAI but on AI in general!
E book please!, make this course more comprehensive pleease!
A good start for beginners to get started with learning about xAI techniques. More use cases would be appreciated in the future.
Really good and interesting work. The explanations are easy to understand and the course covers the most important explainable AI methods. I'm looking forward to new methods and course updates! 🙂
Very nice explanations!
I think this is a very good introduction to XAI. Some things could be more detailed like the logic behind each explanation and some things could be omitted like so much talk about correlation and datasets (although I know that is very important).
Perfect thank you so much !
