Seth Axen 🪓

@sethaxen
31 Followers
38 Following
23 Posts
probabilistic programmer (#probprog), #FOSS contributor and advocate, #JuliaLang developer, bringing #MachineLearning to the sciences at the ML ⇌ Science Colab @unituebingen. he/him
Websitehttps://sethaxen.com
GitHubhttps://github.com/sethaxen
Twitterhttps://twitter.com/sethaxen

Hello, I am a statistician at Chalmers University of Technology and University of Gothenburg!

I work on scientific #machinelearning problems taking a Bayesian #statistics and causal inference perspective and contribute to #JuliaLang.

#Introduction

In ArviZ.jl we store inference results (especially #MCMC draws) as InferenceData. It's built on DimensionalData, so we have multidimensional real arrays with named dimensions. Each array element is a marginal of a random draw, which is a useful format for plotting, #statistics, and diagnostics, but sometimes it's useful to get back to a structure more like what a PPL might emit.

Surprisingly, we can get pretty close with just 8 lines of code:
https://github.com/arviz-devs/InferenceObjects.jl/issues/27

#probprog #foss #JuliaLang

Utility for unflattening Datasets · Issue #27 · arviz-devs/InferenceObjects.jl

The natural way to represent a draw from a posterior distribution is as a NamedTuple whose keys are parameter names and whose values are the values. The values can be scalars, arrays, or arbitrary ...

GitHub
@cameron_pfiffer and easy to support him via https://opencollective.com/mastodon or Patreon
Mastodon - Open Collective

Mastodon is a free, open-source social network server based on ActivityPub

Just so y'all know, the lead Mastodon guy does this for a hilariously small amount of money. OSS is something else

https://mastodon.social/@Gargron/109260715240000670

📢PARENTS📢

Make SURE you check your children's candy carefully this Halloween🍬

I just found HETEROSKEDASTICITY in this snickers bar😲😱

I don't find myself missing many aspects of US culture here in Germany, but, strangely enough, I do miss #Halloween.
The note is visible on the desktop site but not the official Android app. The Tusky app shows it though.

Hello everyone out there in the fediverse!

I'm currently a Academy of Finland postdoctoral fellow at Aalto University working on probabilistic #machinelearning. Most of my interests are related to probabilistic #machinelearning methods that are flexible (#nonparametric), efficient (#tractable), and exact or come with guarantees (or a subset of thereof).

In my research, I work a lot with #JuliaLang and I'm always eager to learn new things.

Curious to see where this all goes.

#introduction

Text might be the most neglected part of #dataviz. We talk a lot about how the right chart type and colors can improve visualizations – but not enough about how to use words well.

So I wrote about that in my latest article: https://blog.datawrapper.de/text-in-data-visualizations/

What to consider when using text in data visualizations

How to make your data visualizations easier to read (and more interesting to look at!) with the right use of text.

Datawrapper Blog
I just noticed everyone has a "NOTE" entry on their profile that presumably only I can edit and see. This is really nice! I've long wanted to attach to accounts I follow why I followed them so I can more easily re-evaluate that follow, so this is very helpful!