Explainable AI

A comprehensive Python tutorial for quickly diving into SHAP

Explainable AI /

Explainable Artificial Intelligence (XAI) is an important subfield of AI that focuses on making the decision-making processes of machine learning models understandable to humans. This is especially important for black-box models, such as ensemble or deep learning algorithms, which are too complex even for experts to understand (see also my article on Explainable Artificial Intelligence). …

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The ultimate guide that makes mastering SHAP easy

Explainable AI /

Explainable Artificial Intelligence (XAI) is an important subfield of AI that focuses on making the decision-making processes of machine learning models understandable to humans. This is especially important for black-box models, such as ensemble or deep learning algorithms, which are too complex even for experts to understand (see also my article on Explainable Artificial Intelligence). …

The ultimate guide that makes mastering SHAP easy Read More »

How to better understand black box models with Shapley values?

Explainable AI /

Explainable Artificial Intelligence (XAI) is an important subfield of AI that focuses on making the decision-making processes of machine learning models understandable to humans. This is especially important for black-box models, such as ensemble or deep learning algorithms, which are too complex even for experts to understand (see also my article on Explainable Artificial Intelligence). …

How to better understand black box models with Shapley values? Read More »

An absolutely easy introduction to Explainable Artificial Intelligence

Explainable AI /

Artificial Intelligence (AI) is one of the most important disruptive technologies of this century. AI is now delivering significant economic and societal value across many industries. AI-based systems have become sophisticated enough to automate many tasks and minimize the need for human intervention. From virtual assistants like Siri and Alexa to movie recommendations on Netflix …

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