4.88 (109 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 109 Ratings
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1 Rating
JK
1 day 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 week ago
Perfect thank you so much !
KM
1 week 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 week ago
Excellent overview of XAI frameworks with implementation codes. The topic covered in the course is highly informative.
SA
2 weeks ago
Great lectures and mind-blowing eBook and quite easy to assimilate
L
2 weeks ago
Very well organised and thorough!
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
1 month 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
2 months ago
The author give us a good and concise idea about what is XAI. Very nice course!
OD
2 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!
FL
3 months ago
It is a very informative introductory course! Good for researchers who want to start their XAI research!
HC
3 months ago
The course balances beween detailed explanations and easy-to-grasp content. Congratulations for having such a well-prerared material and structure!
LL
3 months ago
Extremely Helpful for explain more details on how models work
JS
3 months ago
a good start for a beginner! The course is well designed for understanding!
CV
3 months ago
Really nice content!!
HG
3 months ago
very informative and concise. helped a lot to understand xai
Great course, very clear and concise. Maybe more examples or exercises would help!
OB
3 months ago
Nice course and introduction to XAI
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  • Articles
  • Code

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