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Jakub NowosadSpatial prediction meets machine learning with mlr3 💡🌍 This blog post by Marvin Ludwig also includes tips on autocorrelation, extrapolation & more.🔗 <a href="https://geocompx.org/post/2025/sml-bp4/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://geocompx.org/post/2025/sml-bp4/</a><a href="https://fosstodon.org/tags/mlr3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mlr3</a> <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> <a href="https://fosstodon.org/tags/gischat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#gischat</a> <a href="https://fosstodon.org/tags/rspatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rspatial</a>

sebffischerThe <a href="https://mastodon.social/tags/mlr3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mlr3</a> book has a new chapter on validation and internal tuning (e.g. early stopping): <a href="https://mlr3book.mlr-org.com/chapters/chapter15/predsets_valid_inttune.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://mlr3book.mlr-org.com/chapters/chapter15/predsets_valid_inttune.html</a> <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> 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.

Michel LangOpen Postdoc position in Münster as part of the project "Predicting antimicrobial resistance with machine learning (ML) algorithms". Develop ML pipelines with <a href="https://ruhr.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> and <a href="https://ruhr.social/tags/mlr3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mlr3</a>. More info: <a href="https://jobs-sf.ukmuenster.de/job/UKM-Wissenschaftlicher-Mitarbeiter-PostDoc-%28gn%29-Data-Science-Statistik-Mathematik-Bioinformatik/1108954001/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://jobs-sf.ukmuenster.de/job/UKM-Wissenschaftlicher-Mitarbeiter-PostDoc-%28gn%29-Data-Science-Statistik-Mathematik-Bioinformatik/1108954001/</a>

Thomas HaaseDoes anyone know a good introduction into <a href="https://social.tchncs.de/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#machinelearning</a> where <a href="https://social.tchncs.de/tags/mlr3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mlr3</a> for <a href="https://social.tchncs.de/tags/R" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#R</a> is used? Most lecture- or seminarmaterial I'm finding is using python for demonstration and tasks.

Hugh Grahamhey <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> folks, is there an issue with the <a href="https://fosstodon.org/tags/mlr3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mlr3</a> ecosystem at the moment - I'm having a lot of compatibility issues and can see that there is a lot of refactoring going on with some core dependencies... anyone else experiencing this?

LukasReminder that you can now preorder the <a href="https://norden.social/tags/mlr3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mlr3</a> book on machine learning in <a href="https://norden.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> at amazon (<a href="https://amzn.eu/d/934kjEF" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://amzn.eu/d/934kjEF</a>) or from the publisher with a 20% discount code AFL04 at <a href="http://www.routledge.com/9781032507545" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://www.routledge.com/9781032507545</a>It's pretty cool™

Michel LangExcited 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 <a href="https://ruhr.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> in <a href="https://ruhr.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RStats</a> using our <a href="https://ruhr.social/tags/mlr3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mlr3</a> software.<a href="https://www.routledge.com/Applied-Machine-Learning-Using-mlr3-in-R/Bischl-Sonabend-Kotthoff-Lang/p/book/9781032507545" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.routledge.com/Applied-Machine-Learning-Using-mlr3-in-R/Bischl-Sonabend-Kotthoff-Lang/p/book/9781032507545</a>

Hugh GrahamHey <a href="https://fosstodon.org/tags/mlr3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mlr3</a> <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> fam, I have just posted a question about generating bootsrapped resamples for ensemble models - any help would be a massive help - thankyou! <a href="https://stackoverflow.com/questions/75482882/bootstrap-resampling-for-stacked-ensemble-leaner-with-mlr3-in-r" rel="nofollow noopener noreferrer" target="_blank">https://stackoverflow.com/questions/75482882/bootstrap-resampling-for-stacked-ensemble-leaner-with-mlr3-in-r</a>

Sharon MachlisFree on-demand workshop: Introduction to machine learning in R with the {mlr3} <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a> 📦 . Video, slides, and downloadable code by Patrick Schratz. Part of this year's <a href="https://fosstodon.org/@opengeohub" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@opengeohub</a> Summer School. <a href="https://fosstodon.org/tags/ml" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ml</a> <a href="https://fosstodon.org/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#machinelearning</a> <a href="https://fosstodon.org/tags/mlr3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mlr3</a> <a href="https://av.tib.eu/media/59409" rel="nofollow noopener noreferrer" target="_blank">https://av.tib.eu/media/59409</a>

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