SLDS / Bernd Bischl
@BBischl
BlueSky: bsky.app/profile/slds-l…
slds.stat.uni-muenchen.de
mcml.ai
essentialds.de
github.com/mlr-org/mlr3
slds.stat.uni-muenchen.de
mcml.ai
essentialds.de
github.com/mlr-org/mlr3
74 Following 594 Followers 128 Posts
Latest posts 5
The #mlr3 book has a new chapter on validation / internal tuning / early stopping:
mlr3book.mlr-org.com/chapters/chapt…
Covers: validation splits for iterative learners such as XGB or NNs, works even in pipelines and can easily be combined with tuning
#RStats #mlr3 #DataScience #Statistics
mlr3book.mlr-org.com/chapters/chapt…
Covers: validation splits for iterative learners such as XGB or NNs, works even in pipelines and can easily be combined with tuning
#RStats #mlr3 #DataScience #Statistics
We have another opening for a PhD in AutoML @LMU_Muenchen. Apply now at job-portal.lmu.de/jobposting/ba1…
#PhD #MachineLearning #Statistics #DataScience #AutoML
#PhD #MachineLearning #Statistics #DataScience #AutoML
NEW accepted ICML'24 position paper:
Rethinking Empirical Research in Machine Learning: Addressing Epistemic and Methodological Challenges of Experimentation
arxiv.org/abs/2405.02200
Maybe of interest to some here.
@BoulesteixLaure @AIML_LMU @__mfeurer__
Rethinking Empirical Research in Machine Learning: Addressing Epistemic and Methodological Challenges of Experimentation
arxiv.org/abs/2405.02200
Maybe of interest to some here.
@BoulesteixLaure @AIML_LMU @__mfeurer__
Excited to announce our new book “Applied Machine Learning Using mlr3 in R”, will be published by Chapman+Hall on 19 Jan. Authored and edited by mlr core team, it provides a practical guide to #MachineLearning in #RStats using our #mlr3 software
routledge.com/Applied-Machin…
routledge.com/Applied-Machin…