4.87 (117 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 117 Ratings
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0 Rating
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DM
20 hours ago
Really helpful for understanding explainable AI. Practical, as well as theoretical
KP
5 days 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
7 days ago
Great Course!
TD
1 week ago
It's a great starting point to build more knowledge not only about the XAI but on AI in general!
KT
1 week ago
E book please!, make this course more comprehensive pleease!
KT
1 week ago
A good start for beginners to get started with learning about xAI techniques. More use cases would be appreciated in the future.
JH
2 weeks 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
4 weeks 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
1 month ago
Perfect thank you so much !
KM
1 month 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
1 month ago
Excellent overview of XAI frameworks with implementation codes. The topic covered in the course is highly informative.
SA
1 month ago
Great lectures and mind-blowing eBook and quite easy to assimilate
L
1 month ago
Very well organised and thorough!
ZR
2 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
2 months ago
Good course and information.
FL
2 months ago
Excellent introduction on XAI, very pedagogic course that explains topics that are rarely explained in a traditional machine learning path.
QS
3 months ago
The author give us a good and concise idea about what is XAI. Very nice course!
OD
3 months ago
great course! passed in a fun and easy to understand way even though the subject is intermediate.
HZ
3 months ago
very helpful contents!
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Material Includes

  • Video tutorials
  • Articles
  • Code

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