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
Awesome course. Very hard to find good quality information on XAI online. This is well organized and well explained.
Was stuck up on too much of resources! Really streamlined my vision of XAI, and I'm just getting started. Thanks!
Amazing resource for being free!
Great materials!
Great course! Video lectures a bit slow moving, if lectures were focused on more on explanation could have been better. But the eBook is great. Easy to understand.
It's an awesome course for someone new to the concept of XAI.
Keep up the good work!
Cheers
Keep up the good work!
Cheers
My first steps on these topics helped me a lot!
The course was very nice.I have lern lot of this from this course
So far , so good . The explanations are clear and lucid for anyone to follow . Hope you bring out more such courses
So far, does a great job providing an overview of what XAI is, allowing the student to understand which tool is best for each situation.
very helpful as a free course
very good course helped me learn pretty quickly
Very Good
The author give us a good and easy idea about what is XAI. Very nice course!
Easy to understand for me as a beginner. Thank you very much dear instructor.
Had to finish the course in one night. Could not stop.
Really interested in XAI, looking forward to learn impressive things from you!
Great course, gives a good insightful explanation, helps to build a good intuition for the agnostic interpretation methods.
Great couse, loving the explanations, hoping to learn a lot. Maybe more examples or exercises would help!
Great course that also gave insights in the theory of XAI
(didn't made working of XAI black boxed)
(didn't made working of XAI black boxed)
