ML⇌Science Colaboratory

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ML⇌Science Colaboratory

ML⇌Science Colaboratory

@mlcolab

We accelerate research in sci and humanities with machine learning; part of the the @ML4Science cluster at @uni_tue. https://t.co/THXtxOd4eB

Tübingen, Germany Katılım Temmuz 2021
159 Takip Edilen531 Takipçiler
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ROCEEH
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 🌡️. ➡️hadw-bw.de/sites/default/… @gregorDbader @mlcolab @sethaxen
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ROCEEH
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. 📈 mlcolab.org/resources/inte…
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ML⇌Science Colaboratory retweetledi
Michael Franke
Michael Franke@meanwhileina·
Here is material for an intermediate course on Bayesian regression in #BRMS: michael-franke.github.io/Bayesian-Regre… - prior / posterior model checking - generalized linear & non-linear models - mixture and distributional models - MCMC methods (some Stan) - model comparison - causal inference
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🐘 Álvaro Tejero-Cantero @alvaro@bayes.club
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. mlcolab.org
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! ⬇️

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ML⇌Science Colaboratory
@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.
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ML⇌Science Colaboratory
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! ⬇️
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