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A comment on Theoretical Impediments to Machine Learning with Seven Sparks from Causality.

Re:Theoretical Impediments to Machine Learning with Seven Sp... by chewyshine on Monday January 15, 2018 @07:34PM (#16154821)
Judea Pearl is tough going for me. I've never met him but he comes across as arrogant and condescending through his writing. I also find his writing very tough to follow. Even so, his Do-calculus is a valuable perspective on causal inference. Dawid is my go to source for clear exposition of causal concepts. Hard to find a clearer thinker and better writer in this area.
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Re:Theoretical Impediments to Machine Learning with Seven Sp... by dfan on Monday January 15, 2018 @09:21PM (#16155279)
I agree that this article came off as a bit condescending.

Pearl has a more general-audience book coming out this year coauthored with Dana Mackenzie called The Book of Why: The Science of Cause and Effect. I'm hoping that it will be a more gentle introduction to the topic. I'll check out Dawid in the meantime.

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Re:Theoretical Impediments to Machine Learning with Seven Sp... by tr1ckst3r on Monday January 15, 2018 @10:28PM (#16155571)
can you clarify what Dawid you're referring to? The one who authored https://www.ucl.ac.uk/statistics/research/pdfs/rr279.pdf ?
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