There are several popular tutorials on using SHAP for ML. Some of them include:
1. "SHAP: How to Interpret Machine Learning Models With Python" by Dario Radečić on Better Data Science ¹.
2. "An introduction to explainable AI with Shapley values" on the SHAP documentation website ².
3. "Interpretable Machine Learning using SHAP — theory and applications" by Towards Data Science ³.
4. "Tutorial: Explainable Machine Learning with Python and SHAP" by Natalie Beyer on ML Conference ⁴.
These tutorials provide a step-by-step guide on how to use the SHAP package in Python to interpret machine learning models.
Is there anything else you would like to know?
Source: Conversation with Bing, 6/1/2023
(1) SHAP: How to Interpret Machine Learning Models With Python. https://betterdatascience.com/shap/ .
(2) An introduction to explainable AI with Shapley values — SHAP latest .... https://shap.readthedocs.io/en/latest/example_notebooks/overviews/An%20introduction%20to%20explainable%20AI%20with%20Shapley%20values.html.
(3) Interpretable Machine Learning using SHAP — theory and applications .... https://towardsdatascience.com/interpretable-machine-learning-using-shap-theory-and-applications-26c12f7a7f1a.
(4) Tutorial: Explainable Machine Learning with Python and SHAP. https://mlconference.ai/blog/tutorial-explainable-machine-learning-with-python-and-shap/.
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