ML⇌Science Colaboratory

We accelerate research in sci and humanities with machine learning; part of the the @ML4Science cluster at @uni_tue.

[ML⇌Science Colaboratory @mlcolab]

We're now also on BlueSky! https://t.co/lsp4Fwzj21

[ML⇌Science Colaboratory @mlcolab]

Tired of waiting forever for MCMC chains to converge? We experimented with using Pathfinder VI to initialize HMC and get early model diagnostics. https://t.co/5hJPsS7v3s #bayesian #probprog #probml

[ML⇌Science Colaboratory @mlcolab]

Interested in being notified first about our future IntroML workshops? Sign up for our mailing list! https://t.co/qG3ikzBhcG

[ML⇌Science Colaboratory @mlcolab]

Our next free Intro to ML workshop for @uni_tue PhD students and above will be Nov 29, 9-5! You can register to join us at https://t.co/kezpwFIPGX.

Don't know if this is the right level for you? Check out the materials from our last workshop at https://t.co/mbYVGlU3oF

[Seth Axen 🪓 @sethaxen]

ArviZ.jl is now a pure Julia meta-package for Bayesian analysis! This makes it much easier to install, integrate smoothly with the whole ecosystem, and easily extended. Check out the announcement! @arviz_devs @JuliaLanguage @TuringLang

https://t.co/PbXUnzMUPZ

[ROCEEH @ROCEEH_news]

📫The latest ROCEEH Newsletter is out! Covering the #ROAD database expansion into the Far East 🇨🇳, Middle Stone Age excavations at Umbeli Belli and Holley Shelter 🇿🇦, and paleoclimate modeling using machine learning 🌡️.
➡️https://t.co/5JnvVDE6kT

@gregorDbader @mlcolab @sethaxen

[ML⇌Science Colaboratory @mlcolab]

The @PlutoJL notebook we use in our IntroML workshops to introduce concepts in supervised learning, from linear regression all the way to neural networks, is now fully interactive in the browser! Try it out here: https://t.co/GBbtGyV7eO

[ROCEEH @ROCEEH_news]

ROCEEH @ #INQUARoma2023 service tweet #3: @sommer_geo & @mlcolab present "Synthesizing climate model and proxy data with a spatio-temporal Gaussian Process" in Session 121: "The anthropology of climate change" on Friday, July 14th at 18:00.
📈 https://t.co/z2H1VbG9j5

[Faculty of Medicine Tuebingen @MedTuebingen]

What does machine learning have to do with medicine? Quite a lot! Find out more and sign up for the ML workshop hosted by @ml4science!
📅May 25, 2023
🕒 9am -5pm (CEST)
➡️https://t.co/WohaOIUMob
#workshop #MachineLearning #medicine

[ML⇌Science Colaboratory @mlcolab]

We will be hosting our next free Intro to ML workshop for the Faculty of medicine soon! You can find out more and already register at https://t.co/5mOWEzDtus @uni_tue @ml4science @MedTuebingen #ML #MedicineTuebingen #workshop

[Michael Franke @meanwhileina]

Here is material for an intermediate course on Bayesian regression in #BRMS: https://t.co/AIajlO10CJ

- prior / posterior model checking
- generalized linear & non-linear models
- mixture and distributional models
- MCMC methods (some Stan)
- model comparison
- causal inference

[ML⇌Science Colaboratory @mlcolab]

🚨 Just 4 days left to apply to join our team!

https://t.co/OqPvHB5uA4

#ML #SciML #FOSS #JuliaLang #Python #jobs

[ML⇌Science Colaboratory @mlcolab]

Are you passionate about ML, scientific datasets, and clean performant code? Would you like to feed your passion for science on cutting-edge research, from archaeology to particle physics, and share your experiences in workshops, blog posts, and talks? We are looking for you! ⬇️

[ML⇌Science Colaboratory @mlcolab]

Great resource!

[🐘 Álvaro Tejero-Cantero @[email protected] @alvorithm]

Come work with us on state-of-the art machine learning for scientific discovery! We have fun challenges with real data across many disciplines, really nice colleagues, a great working environment and a lot of space for learning and self-development.

https://t.co/K6aV86j2Rd

[ML⇌Science Colaboratory @mlcolab]

@ml4science @uni_tue Working within one of the top communities for ML methods in Europe, we collaborate with domain scientists and ML researchers, teach practical ML, and write fast, reproducible code. Our team offers plenty of opportunities to grow as a researcher, an engineer, and a project leader.

[ML⇌Science Colaboratory @mlcolab]

Are you passionate about ML, scientific datasets, and clean performant code? Would you like to feed your passion for science on cutting-edge research, from archaeology to particle physics, and share your experiences in workshops, blog posts, and talks? We are looking for you! ⬇️

[ML⇌Science Colaboratory @mlcolab]

We at the MLColab at @ml4science @uni_tue are looking for a motivated, skilled individual to join our team, working at the intersection of science, engineering, and people. For details and to apply, see https://t.co/OqPvHB5uA4 #ML #SciML #FOSS #JuliaLang #Python #Jobs

[ArviZ @arviz_devs]

ArviZ is participating in Google Summer of Code 2023 under the @NumFOCUS umbrella. We have projects in both #Python and #JuliaLang. If interested in working on one of these projects, get in touch! https://t.co/SKEYu1tXzB
@JuliaLanguage @TuringLang @GoogleOSS #gsoc #bayesian