AI-Accelerated Product Development
Monotonic Constraints, Interaction Constraints and Cost-Sensitive Learning
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Techniques for placing constraints on machine learning models to ensure they don't end up with illogical or biased results
Potential Use Cases
Bias-mitigation and for injecting domain knowledge into the model
Who is This For ?
Machine Learning Developers focused on bias mitigation and model validation
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1. Bias in Machine learning models
What is bias and sources of bias in ML models?
2. Deontological Ethics By Monotonicity Shape Constraints
What is an example of applying monotonic constraints to migitge bias?
3. Application of Monotonic Constraints in Machine Learning Models
How to implement monotonic constraints on a Machine Learning Model?
4. Feature Interaction Constraints in XGBoost
What is a code example of applying feature interaction constraints on an XGBoost model?
5. Feature Interactions in XGBoost
What is feature interaction in non-linear models?
6. Cost-Sensitive Learning and the Class Imbalance Problem
What is the motivation for cost sensitive learning?