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 ;)
This update results in colab links that take whatever is at the specific
Github URL, and then provides a colab runtime environment for that
notebook. These notebooks cannot be saved over (thereby making them
runnable but not permenantly editable), but users can easily go into the
file bar and save their own runnable version of the notebook to Google
drive.
This update results in colab links that take whatever is at the specific Github URL, and then provides a colab runtime environment for that notebook. These notebooks cannot be saved over (thereby making them runnable but not permenantly editable), but users can easily go into the file bar and save their own runnable version of the notebook to Google drive.