Michel Lang

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111 Following
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Scientific coordinator @rctrust. Developer of the #rstats package mlr3.
Githubhttps://github.com/mllg
Websitehttps://rc-trust.ai/about/scientists/michel-lang

🚀 The RC Trust Internship Program 2026 is open!

Funded research internships in trustworthy & robust AI – with close supervision, international exchange, and time to focus on what matters: your research. 🧠🤝

📅 Deadline: December 31, 2025
👉 https://rc-trust.ai/career/internship-program

#InternshipProgram #TrustworthyAI #Research #AI #AcademicCareers #InternationalResearch

Vor der Bundestagswahl 2025: Team der TU Dortmund ermittelt Fehleranfälligkeit von KI-Wahlhilfen
Wahlhilfe-Tools, die auf Künstlicher Intelligenz basieren, bieten neue Möglichkeiten, sich interaktiv über die Wahlprogramme der Parteien zu informieren. Doch nach Untersuchungen Forschender der TU Dortmund sind die Antworten der KI nicht rein durch die Inhalte der Parteiprogramme festgelegt. Die...
https://nachrichten.idw-online.de/2025/02/18/vor-der-bundestagswahl-2025-team-der-tu-dortmund-ermittelt-fehleranfaelligkeit-von-ki-wahlhilfen
Vor der Bundestagswahl 2025: Team der TU Dortmund ermittelt Fehleranfälligkeit von KI-Wahlhilfen

On February 20, Prof. Edward Lee from UC Berkeley will give a talk with the title "Will Embodied AI Become Sentient?" as part of our newly established Lecture Series.

🗓️ When? February 20th, 2:15 pm
🏠 Where? ❗Room change❗HG1/HS6 at the South Campus, TU Dortmund

You can register online. The program starts at 10 a.m. and we look forward to seeing everyone who comes by.

Details: https://rc-trust.ai/news

News

The #mlr3 book has a new chapter on validation and internal tuning (e.g. early stopping): https://mlr3book.mlr-org.com/chapters/chapter15/predsets_valid_inttune.html #rstats

The chapter describes some newly introduced features in mlr3 that allow you to define validation splits for iterative learning procedures such as boosting or neural networks, even in complex learning pipelines. Furthermore, you can now easily combine early stopping with standard hyperparameter tuning.

15  Predict Sets, Validation and Internal Tuning (+) – Applied Machine Learning Using mlr3 in R

It was a huge honour for me today with Raphael to posthumously hand over the European #SFSAward 2024 to #vim developer Bram Moolenaar for his invaluable contributions to the #FreeSoftware community.

If you are a #vim user, have been an #vim user, or admire Bram's work, please boost this message.

https://fsfe.org/news/2024/news-20241108-01.html

Vim developer Bram Moolenaar posthumously receives the European SFS Award - FSFE

The Free Software Foundation Europe (FSFE) and Linux User Group Bolzano-Bozen (LUGBZ) posthumously honored Bram Moolenaar, creator of the widely used Vim t...

FSFE - Free Software Foundation Europe
Open Postdoc position in Münster as part of the project "Predicting antimicrobial resistance with machine learning (ML) algorithms". Develop ML pipelines with #rstats and #mlr3. More info: https://jobs-sf.ukmuenster.de/job/UKM-Wissenschaftlicher-Mitarbeiter-PostDoc-%28gn%29-Data-Science-Statistik-Mathematik-Bioinformatik/1108954001/
Wissenschaftlicher Mitarbeiter / PostDoc (gn*) Data Science / Statistik / Mathematik / Bioinformatik

Wissenschaftlicher Mitarbeiter / PostDoc (gn*) Data Science / Statistik / Mathematik / Bioinformatik

I am deep in the rabbit hole of looking into an apparently deeply scammy looking zsh plugin manager called "zi".

I think it's an extremely bad idea to use "z-shell/zi" or anything else from the same "creators". There's an entire field of red flags here.

We guide you from training and predicting, to complex pipelines and nested resampling. As well as regression and classification, we cover spatial modelling, algorithmic fairness, interpretable ML, and more. Preorder from 29 Dec.

Excited to announce that “Applied Machine Learning Using mlr3 in R”, will be published by Chapman and Hall on 19 Jan. Authored and edited by the mlr core team, our book provides a practical guide to #MachineLearning in #RStats using our #mlr3 software.

https://www.routledge.com/Applied-Machine-Learning-Using-mlr3-in-R/Bischl-Sonabend-Kotthoff-Lang/p/book/9781032507545

Applied Machine Learning Using mlr3 in R

mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R. It covers various key topics, including basic machine learning tasks, such as building and evaluating a predictive model; hyperparameter tuning of machine learning approaches to obtain peak perfor

Routledge & CRC Press

Are you interested in #academicjobs?

We are currently looking for #PhD students and a #postdoc to work on exciting and interdisciplinary topics in the areas of #MachineLearning, #DataScience and #AI.

9 positions for PhD students
https://rc-trust.ai/Open-PhD-Positions-RC-Trust.pdf

1 Young Investigator Group Leader
https://rc-trust.ai/postdocs_and_young-investigator-groups-RC-Trust.pdf

📢 Apply NOW! (by 15 April) @[email protected] @[email protected]