4.86 (137 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 137 Ratings
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Exactly what I needed!
The content is clear, concise, and highly relevant for real-world application, directly addressing the industry need for trustworthy and understandable models. It effectively simplifies basic concepts, making it easy for both newcomers and researchers to quickly grasp the core ideas. Highly recommended as a definitive resource on model interpretability.
This course is really well designed and work as a perfect starting point to learn about the XAI. Thank you for this
Complete overview about XAI!! )
Thank you, this is a perfect starting point.
As a starting point for XAI, it's great!
Great Course! I think it could be more mathematical and maybe differentiate interpretability and explainability. I think they are distinct and explainable methods can't always provide interpretation of non interpretable models. Maybe I'm being too strict. I'm new to the field and I'm trying to discern what is right and wrong, and I've seen many specialists giving different definitions for XAI and Interpretable AI. Overall, great start for newbies.
Great job! It is pleasure to learn from it.
Excelent course!!,
Just started the course. Very good so far
This course came highly recommended to me. I have enjoyed every section of the course. I like the easy peasy approach.. I cant find any course better that it on the subject Model explainability and interpretability
Excellent course! well done.
Excellent overview and easy explanations Thank you
Well crafted for beginners! Very organised and clear explanations.
This course is a great way to get into the world of XAI and its practical implementations.
I am new to XAI and will use this tool in my research. This course really helped me understand basic ideas in a very clear and concise way. Concepts are organised very well and are easy to understand.
Good
A very informative introductory course with good examples.
Very well crafted course for beginners to xAI. Recommend it to everyone starting new.
This course is amazing! The content is very adequate and the flow is simply wonderful!
$49.00
$99.00
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LevelIntermediate
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Total Enrolled716
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Last UpdatedApril 20, 2024
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