Probabilistic Programming will be a powerful addition to anyone's AI/ML tool belt and can be particularly useful in low data situations (and you never have enough data), to take advantage of hard learned domain knowledge and to reason under uncertainty. Kind of the opposite of deep learning. But I see them as complementing rather than competing technologies.

In this first meeting we will:

• get to know each other
• discuss our projects, interests and experiences regarding probabilistic programming
• get started learning

We'll start the first few meetings by going through the free book Bayesian Methods for Hackers by Cameron Davidson-Pilon (link below). Go ahead and read the first few chapters if get a chance before the meeting.

There is a slack channel too.

I hope you'll join us.