#machinealearning — Public Fediverse posts

"Researchers at Stanford University Introduce 'pyvene': An Open-Source #Python Library that Supports Intervention-Based #Research on Machine Learning Models" (MarkTechPost)

https://www.marktechpost.com/2024/03/16/researchers-at-stanford-university-introduce-pyvene-an-open-source-python-library-that-supports-intervention-based-research-on-machine-learning-models/

#OpenSource #ML #MachineaLearning

"Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers"

https://arxiv.org/abs/2402.01502

'... Despite their remarkable effectiveness and broad application, the drivers of success underlying ensembles of trees are still not fully understood. In this paper, we highlight how interpreting tree ensembles as adaptive and self-regularizing smoothers can provide new intuition and deeper insight to this topic...'

#MachineaLearning #ML #RandomForest