The Statistics Globe Hub starts in 3 days, and I would like to give you a short preview of the first module "Feature Selection Using Random Forest."

Interested in joining the Hub? You can find more information here: https://statisticsglobe.com/hub

#statistics #datascience #ai #rstats #python #randomforest

Next in our #MachineLearning series: We build our very own decision tree (a Random Forest!) using #Ruby and Scikit-learn 🐍

This is a very popular tree-based ensemble model. Check it out 👉 https://www.ombulabs.ai/blog/introduction-to-random-forests  

#AI #ML #RandomForest #Python

🌳 Random Forests and Living Trees

English translation of my earlier article on applying satellite imagery and machine learning to map urban land cover.

What started as a local research project in Kryvyi Rih turned into something much larger — the results sparked a heated discussion among residents, officials, and industry representatives about the real condition of green buffers around large industrial sites.

The methodology developed during that work is still being used today — adapted for new environmental and urban projects.

🔗 https://www.datastory.org.ua/random-forests-and-living-trees/

#RemoteSensing #MachineLearning #LandCoverMapping #UrbanEcology #EnvironmentalMonitoring #RandomForest #GeospatialAnalysis #GIS #RStats #SAGAGIS #QGIS #IndependentResearch #OpenSource #EnvironmentalDataScience #KryvyiRih #LULC

Next in our #MachineLearning series: We build our very own decision tree (a Random Forest!) using #Ruby and Scikit-learn 🐍

This is a very popular tree-based ensemble model. Check it out 👉 https://go.fastruby.io/l1y 

#AI #ML #RandomForest #Python

Exploring Model Templates Across Disciplines 📊

At the @tuberlin workshop “Large Language Models for HPSS” Maximilian Noichl presented #OpenAlexMapper—a tool to trace how model templates, concepts, and methods like #RandomForest spread across scientific disciplines over time.

His talk offered a compelling case for combining projective methods with large-scale bibliometric data.

https://maxnoichl.eu/full/talks/talk_BERLIN_April_2025/talkBERLIN.html#/section-3

#LLMs #MachineLearning #HistoryOfScience #DigitalHumanities #Mapping