aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Chapter 2 (PyMC3): typo in "prior distributions" in last paragraph of "A Simple Case"
Chapter 4 (PyMC3): typo in Law of Large Numbers Example - "... is equal to it's parameter." (it's --> its)
Chapter 4 (PyMC3): “Our intuition should tell us that the counties with the most extreme population heights should also be uniformly spread over 100 to 4000” (4000 --> 1500)
Chapter 4 (PyMC2 and PyMC3): #adding a number to the end of the %run call _with_ get the ith top photo (with --> will, photo --> post)
Chapter 5 (PyMC2 and PyMC3): "This loss function might be used by a political pundit who's job requires him or her to give confident "Yes/No" answers.” (who’s —> whose)
Chapter 6 (PyMC3): "... suggesting that it's true daily return is negative ..." (it's --> its)
Fixes:
#adding a number to the end of the %run call _with_ get the ith top photo
(with --> will, photo --> post)Thanks for the read!