4.87 (119 Ratings)

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.
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What I will learn?

  • Introduction to XAI
  • Building interpretable models
  • LIME
  • SHAP
  • PDPs and ICE Plots
  • ALEs
  • Friedmans H-Stat
  • Giving human-friendly explanations

Course Parts

Course Info

  • Outline
    00:00
  • Code and Requirements
    00:00

Introduction to XAI

Linear Models

Model Agnostic Methods

Student Ratings & Reviews

4.9
Total 119 Ratings
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1 Rating
AU
1 week ago
Very well crafted course for beginners to xAI. Recommend it to everyone starting new.
LG
3 weeks ago
This course is amazing! The content is very adequate and the flow is simply wonderful!
DM
4 weeks ago
Really helpful for understanding explainable AI. Practical, as well as theoretical
KP
4 weeks ago
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!
JS
1 month ago
Great Course!
TD
1 month ago
It's a great starting point to build more knowledge not only about the XAI but on AI in general!
KT
1 month ago
E book please!, make this course more comprehensive pleease!
KT
1 month ago
A good start for beginners to get started with learning about xAI techniques. More use cases would be appreciated in the future.
JH
1 month ago
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!
JK
2 months ago
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).
ML
2 months ago
Perfect thank you so much !
KM
2 months ago
Even if you are not a native english speaker, this course with all the informations and examples are great to learn a lot about XAI.

Please keep up with this good work.
LA
2 months ago
Excellent overview of XAI frameworks with implementation codes. The topic covered in the course is highly informative.
SA
2 months ago
Great lectures and mind-blowing eBook and quite easy to assimilate
L
2 months ago
Very well organised and thorough!
ZR
3 months ago
It is a very informative introductory course!
Good for researchers who want to start their XAI research!
Great course, very clear and concise. Maybe more examples or exercises would help!
SW
3 months ago
Good course and information.
FL
3 months ago
Excellent introduction on XAI, very pedagogic course that explains topics that are rarely explained in a traditional machine learning path.
QS
4 months ago
The author give us a good and concise idea about what is XAI. Very nice course!
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Material Includes

  • Video tutorials
  • Articles
  • Code

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