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klotz: explainability* + machine learning*

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1. Additive Decision Trees: An Interpretable Classification and Regression Model

   Additive Decision Trees are a variation of standard decision trees, constructed in a way that can often allow them to be more accurate, more interpretable, or both. This article explains the intuition behind Additive Decision Trees and how they can be constructed.

   2024-05-24 Tags: decision tree, explainability, classification, regression, decision trees, machine learning by klotz
2. What If We Could Easily Explain Overly Complex Models?

   Generating counterfactual explanations got a lot easier with CFNOW, but what are counterfactual explanations, and how can I use them?

   2023-09-30 Tags: machine learning, explainability, feature selection, lime, shap, counterfactual, cfnow, xai by klotz
3. Decision Tree visualization

   2023-06-23 Tags: decision tree, visualization, explainability, machine learning by klotz
4. Understanding Causal Trees

   2023-02-04 Tags: causality, explainability, machine learning, root cause analysis by klotz
5. Shap

   2023-01-28 Tags: shapley functions, shap, explainability, machine learning by klotz
6. Introduction to SHAP Values and their Application in Machine Learning | by Reza Bagheri | Mar, 2022 | Towards Data Science

   2022-04-18 Tags: shap, machine learning, deep learning, explainability by klotz
7. Visualizing Decision Trees with Pybaobabdt | by Parul Pandey | Dec, 2021 | Towards Data Science

   2022-01-06 Tags: pybaobabdt, python, decision tree, explainability, visualization, machine learning by klotz
8. Denigma for Developers - AI that reads and explains code in conversational English

   2021-10-03 Tags: explainability, nlp, code, ai, machine learning by klotz
9. How to Visualize and Debug Machine Learning Models using ELI5? -

   2021-09-26 Tags: machine learning, explainability, eli5 by klotz
10. Activation Atlases is a Machine Learning Interpretability Model Used by Google and OpenAI | by Jesus Rodriguez | Sep, 2021 | Towards AI

    2021-09-20 Tags: machine learning, deep learning, image recognition, activation, activation atlas, visualization, explainability by klotz

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