aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in …

looking to learn about Bayesian methods. This book is filled with examples, figures, and working Python code that make it easy to get started solving actual problems.

With collaboration from the TensorFlow Probability team at Google, there is now an updated version of Bayesian Methods for Hackers that uses TensorFlow Probability (TFP). This is a …

Welcome to Bayesian Methods for Hackers. The full Github repository is available at github/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers. The other...

The Bayesian world-view interprets probability as measure of believability in an event, that is, how confident we are in an event occurring. In fact, we will see in a moment that this is the natural …

We explore modeling Bayesian problems using Julia’s Turing library through examples. How do we create Bayesian models? Examples include: Detecting the frequency of cheating students, …

Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and …

Oct 12, 2015 · Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, …

Jul 17, 2019 · With cheap computing power, we can now afford to take an alternate route via probabilistic programming. Cam Davidson-Pilon wrote the book Bayesian Methods for Hackers …