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.
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
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Outline
00:00 -
Code and Requirements
00:00
Introduction to XAI
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What is XAI?
00:00 -
The 6 benefits of XAI
00:00 -
10 tips for getting the most out of XAI
00:00 -
Human-friendly explanations
00:00
Linear Models
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The Power of Linear Models
00:00 -
Interpretable Feature Engineering
00:00 -
Characteristics of a Good Feature
00:00 -
Feature Clustering
00:00 -
Explaining linear models
00:00
Model Agnostic Methods
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Taxonomy of model agnostic methods
00:00 -
Permutation feature importance
00:00 -
PDPs and ICE Plots
00:00 -
ALEs
00:00 -
Friedman’s H-stat
00:00 -
LIME
00:00 -
SHAP
00:00
Student Ratings & Reviews
4.9
Total 117 Ratings
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1 Rating
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 !
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.
Please keep up with this good work.
Excellent overview of XAI frameworks with implementation codes. The topic covered in the course is highly informative.
Great lectures and mind-blowing eBook and quite easy to assimilate
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!
Good for researchers who want to start their XAI research!
Great course, very clear and concise. Maybe more examples or exercises would help!
Good course and information.
Excellent introduction on XAI, very pedagogic course that explains topics that are rarely explained in a traditional machine learning path.
The author give us a good and concise idea about what is XAI. Very nice course!
great course! passed in a fun and easy to understand way even though the subject is intermediate.
very helpful contents!
$99.00
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LevelIntermediate
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Total Enrolled598
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Last UpdatedApril 20, 2024
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