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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 ;)

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Fix a Matplotlib 3.3 deprecation warning in the beginning of the Chapter 1 notebooks. The exact warning is: > MatplotlibDeprecationWarning: Passing non-integers as three-element position specification is deprecated since 3.3...

The codes in Ln[11] are: > %matplotlib inline > from IPython.core.pylabtools import figsize > import matplotlib.pyplot as plt > import scipy.stats as stats > figsize(12.5, 4) > > > samples...

Chapter 4 has a section titled [Example: Counting Github stars](http://nbviewer.jupyter.org/github/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Chapter4_TheGreatestTheoremNeverTold/Chapter4.ipynb#Example:-Counting-Github-stars): > What is the average number of stars a Github repository has? How would you calculate this? There are over...

I get an error in chapter 4 when I try to run the code for the hierarchical linear regression model ```Python with pm.Model() as hierarchical_model: # hyper-priors alpha_tmp_mu = pm.Normal('alpha_tmp_mu',...

Hi, I see there is a PyMC example using the .deterministic annotation. Is there an easy way to do this for PyMC3? I tried this but it's incorrect. lambda1 =...

Unable to compile using `to_latex_pdf.sh ` ``` $ ./to_latex_pdf.sh [TerminalIPythonApp] WARNING | Subcommand `ipython nbconvert` is deprecated and will be removed in future versions. [TerminalIPythonApp] WARNING | You likely want...

I have install my pymc3 as https://github.com/pymc-devs/pymc3/wiki/Installation-Guide-(Windows) on win10, it works well in pycharm, but it can't work normally in jupyter, I've searched in Internet, upgrade the numpy, but it...

Hello, First of all, thank for writing a very great book, I'm really enjoying it :smile: Currently in the TFP version of this book, models are "manually" built. I took...

In the text discussing Tim's decreasing function for euclidean distance, the formula is displayed as: This shows the minimum of the Euclidean distance and some value. -- In the code...