We have the second Cambridge Julia Meetup.
This time wit
h a planned speaker\, as well as time for adhoc short talks after.
Come for a chill meetup\, drink some coffee and meet other Julia users.
Pizza will be provided at 7:00pm\,
and we will aim to start the main
talk at 7:45pm.
(details below)/
For the short adhoc talks the
y will be occuring shortly after our main speaker (details on that below).
Feel welcome to give short demonstrations of anything you think is co
ol.
There will be plenty of time for anyone who wishes to give a 510
minute halfplanned talk\, if one is so inclined.

## Title:
You have data and I have distributions: a talk on Turing.jl and Bijectors
.jl
You have data? What a coincidence\; I have distributions! I kno
w distributions. I have the best distributions.
If you come to this ta
lk I'll tell you a bunch of different ways to get a distribution for your
data. Some distributions will be (asymptotically) exact and some approxima
te. Nonetheless\, if you want a distribution for you data this is definiti
vely the place to be.
We'll look at using
 Bayesian inference
to obtain distributions over latent/"hidden" variables given data\,

meanfield variational inference to _approximately_ do the same\,
 ne
ural networks (a particular class called normalising flows) to approximate
ly do the same but _even better_\, and more.
Then we'll finish off wit
h a ludicrous display of using learned normalising flows inside a generati
ve model which we will then run exact Bayesian inference on! It will be wi
ld.
No idea what I'm talking about? Don't worry\; we'll decode this alphabetsoup together.
This will also be a nice example of how Ju lia allow composable and performant implementations without sacrificing co nvenience. If you thought Julia was awesome before this talk\, be prepared to have your opinion be confirmed!
For Turing.jl and related\, see
https://turing.ml/. On
Github:
Turing.jl: https://github.com/TuringLang/Turing.jl
Bijector
s.jl: https://github.com/TuringLang/Bijectors.jl
## Our speaker: T or Fjelde
Hey. My name is Tor\, like the onion browser or the norse god. Neither are fitting\; I'm not a man of many layers nor am I longhai red and muscular. I'm currently working as a research assistant in the Mac hine Learning group at University of Cambridge where I a lot of my time on developing variational inference for the probabilistic programming langua ge Turing.jl. In the more recent weeks my work has been on a different pac kage focused on transformations of distributions\, called Bijectors.jl. It 's all related to probabilities\, and it's all good fun.
And like y ou\, I of course loooove Julia!

If you are thinking abou t visiting from London\, Invenia Labs is a 20 minute walk from the trains tation.
This meetup is just a day after the London Meetup.
Do b
oth\, it will be great.