DataForScience/Causality
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6 mentions on Hacker News by 1 person: 0 stories, 6 comments · first 2020-09-16 · latest 2024-03-12
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It’s actually surprisingly common. You can even find it in “classical” toy datasets like Iris: https://github.com/DataForScience/Causality/blob/master/1.2%...
comment by Anon84 · 2024-03-12 · in Simpson's paradox -
…written and to the point. <ShamelessSelfPromotion> I also have a series of blog posts on the topic: https://github.com/DataForScience/Causality where I work through Pearls Primer: https://amzn.to/3gsFlkO </ShamelessSelfPromotion>
comment by Anon84 · 2023-10-15 · in Causal inference as a blind spot of data scientists -
…written and to the point. <ShamelessSelfPromotion> I also have a series of blog posts on the topic: https://github.com/DataForScience/Causality where I work through Pearls Primer: https://amzn.to/3gsFlkO </ShamelessSelfPromotion>
comment by Anon84 · 2023-09-26 · in Causality for Machine Learning (2020) -
…on Causality where I work through Pearls 'Causal Inference in Statistics: A Primer' using Python: https://github.com/DataForScience/Causality </ShamelessSelfPromotion>
comment by Anon84 · 2021-03-08 · in Review: The Book of Why -
…today, after all. If you want to check out something a bit more substantive, how about this: https://github.com/DataForScience/Causality
comment by Anon84 · 2021-01-10 · in Graph Algorithms for Data Science -
…be interested in my blog series working through Pearls “Causal Inference in Statistics: A Primer”: https://github.com/DataForScience/Causality (Jupiter notebooks and links to blog posts)
comment by Anon84 · 2020-09-16 · in The Book of Why: The New Science of Cause and Effect [pdf]