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Introduction to Causal Inference Course
https://causal.training
Direct contact link
enqu****@causal.training
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Introduction to Causal Inference
https://causalcourse.com
Brady Neal. Im a PhD student in causal inference and machine learning at Mila - Quebec AI Institute co-advised by Ioannis Mitliagkas and Yoshua Bengio.
brady*****@gmail.com
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R for Epidemiology
https://r4epi.com
This is the textbook for Brad Cannell’s Introduction to R Programming for Epidemiologic Research course.

The Bayesian Quest – Unraveling the Enigma of Data Science
https://bayesianquest.com

Introduction | Stata ML Page
https://statalasso.github.io
achim.******@gess.ethz.ch
christia********@chicagobooth.edu
m.e.sc******@hw.ac.uk
wie***@uchicago.edu
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The Causal Clinician
https://thecausalclinician.com

causaLens | a causal AI software company | Decision-making AI
https://causalens.com
Direct contact link

Causal Conversations - with Basse and Bojinov
https://causalconversations.com
iav.b*****@gmail.com
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🤯Cameron Raymond🤯
https://cameronraymond.me
Cameron Raymond is a data scientist and graduate from the University of Oxford. His broad areas of interest include network science machine learning and computational social science.

Edwin Ng
https://edwinng.com
Posts about data sciecne

Paradoxes exclude theories other than CDT successors based on mathematical monism with TSVF | Parado
https://causal.space

Victor Li | Columbia Imperial
https://xiaohui-victor-li.github.io
xl2***@columbia.edu
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Urnomics
https://urnomics.org

Urnomics
https://urnomics.com

Data Science-ish
https://datascienceish.net

Lets KoLab
https://kohitij.com
koh***@mit.edu
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Chakrawareness
https://chakrawareness.com

Imke Mayer
https://imkemayer.com

Home - The Casual Fighter Podcast
https://thecasualfighter.com
Direct contact link


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