List: Prescriptive analytics | Curated by Anshul Sharma | Medium

Aug 23, 2022

4 stories

Prescriptive analytics

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TDS Archive

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Samuele Mazzanti

Bring Explainable-AI to the Next Level by Finding the “Few Vital Causes”

An effective Explainable-AI should be aimed at discovering the “vital few” causes rather than the “trivial many” events. Here is how to do…

Jan 8, 2021

Bring Explainable-AI to the Next Level by Finding the “Few Vital Causes”

Jan 8, 2021

In

TDS Archive

by

Samuele Mazzanti

Black-Box models are actually more explainable than a Logistic Regression

SHAP values are not comprehensible. But, starting from them, it is possible to express a model choices in terms of impact on probability…

Sep 21, 2019

Black-Box models are actually more explainable than a Logistic Regression

Sep 21, 2019

In

TDS Archive

by

Samuele Mazzanti

SHAP explained the way I wish someone explained it to me

Making sense of the formula used for computing SHAP values

Jan 4, 2020

SHAP explained the way I wish someone explained it to me

Jan 4, 2020

In

Dataman in AI

by

Chris Kuo/Dr. Dataman

Explain Your Model with the SHAP Values

Use the SHAP Values to Explain Any Complex ML Model

Sep 14, 2019

Explain Your Model with the SHAP Values

Sep 14, 2019

Anshul Sharma
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Data Scientist @ Gartner | Kaggle Notebooks master | Developer turned Data Scientist | Loves creating Data Stories
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