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Create 10-Intro-to-Causal-AI
Adding a link to Paul and Jermain's recent Datacamp tutorial on causality using DoWhy Signed-off-by: Emre Kıcıman <[email protected]>
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_case_studies/10-Intro-to-Causal-AI

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title: Intro to Causal AI Using the DoWhy Library in Python
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layout: page
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description: >-
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This tutorial provides an introduction to causal AI using the DoWhy library in Python. It discusses fundamental principles and offers code examples.
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summary: >-
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This tutorial covers some of the fundamental concepts and ideas of causal AI using the DoWhy library in Python. Causal inference is quite different
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conceptually from standard machine learning, so most people will start out with limited background knowledge. However, basic knowledge of regression
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analysis and statistical modeling will be helpful for following along. By Paul Hünermund and Jermain Kaminski
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image: https://images.datacamp.com/image/upload/v1695118174/image3_32c4057931.png
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image-alt: Causal Graph Example
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link: https://www.datacamp.com/tutorial/intro-to-causal-ai-using-the-dowhy-library-in-python
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