The Book of Why: The New Science of Cause and Effect

Category: Computer Science
Author: Judea Pearl, Dana Mackenzie
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by halhen   2018-11-10
I'm not well rounded enough to draw a clear path from where you are. For me Gelmans Data Analysis Using Regression and Multilevel/Hierarchical Models [0] drove home many, many points. More recently, I have a sense/hope that Pearl's The Book of Why [1] might take this to yet another level.

[0] [1]

by justinpombrio   2018-08-12
There's also "The Book of Why", which is a pop-sci-ish book by Pearl and Dana Mackenzie. It contained just enough math and examples to get me really excited for causal inference, so I just bought "Causal inference in statistics" to see the theory in detail. If you want to learn what causal inference is about, but don't necessarily want to wade through a textbook immediately, I highly recommend "The Book of Why".

by mindcrime   2018-07-16
A few recommedations:

1. Black Like Me - John Howard Griffin -

3. Godel, Escher, Bach: An Eternal Golden Braid - Douglas Hofstadter -

6. The Fountainhead - Ayn Rand -

8. The Education of Millionaires - Michael Ellsberg -

9. The Silent Corner, The Whispering Room, and The Crooked Staircase - Dean Koontz -

11. After Dark - Haruki Murakami -