A Brief Overview of Methods to Explain AI (XAI)
V. Margot. Towards Data Science, November, 26th 2021.
A Brief Overview of Methods to Explain AI (XAI)
A New Method to Compare the Interpretability of Rule-Based Algorithms
An original method to combine regression estimators in Python.
Sharp estimates for the integrated density of states in Anderson tight-binding models
Online Bayesian inference for multiple changepoints and risk assessment
Speed Cubing for Machine Learning - Episode 3
TransparentPath: A Python package to manage paths on Google Cloud Storage
How to deal with overlapping rules?
Applying separative non-negative matrix factorization to extra-financial data
Consistent Regression using Data-Dependent Coverings
How to choose the best model?
Accelerating Pandas concatenation
How to measure interpretability?
Speed Cubing for Machine Learning - Episode 2
Interpretable Algorithms for Regression: Theory and Applications
Using Non-negative matrix factorization to classify companies
A rigorous method to compare interpretability of rule-based algorithms
Speed Cubing for Machine Learning - Episode 1
Introduction to Generative Adversarial Networks
A self-learning and interpretable investment strategy based on extra-financial data