Random Forests

Papers

Mondrian Forests: Efficient Online Random Forests

• arXiv: http://arxiv.org/abs/1406.2673
• github: https://github.com/balajiln/mondrianforest
• video: http://videolectures.net/sahd2014_teh_mondrian_forests/

Food-101 – Mining Discriminative Components with Random Forests

• homepage: http://www.vision.ee.ethz.ch/datasets/food-101/

Resources

AWESOME-RANDOM-FOREST - a curated list of resources regarding random forest

• blog: http://jiwonkim.org/awesome-random-forest/
• github: https://github.com/kjw0612/awesome-random-forest

Blogs

The Unreasonable Effectiveness of Random Forests

https://medium.com/rants-on-machine-learning/the-unreasonable-effectiveness-of-random-forests-f33c3ce28883

Random forest interpretation with scikit-learn

• blog: http://blog.datadive.net/random-forest-interpretation-with-scikit-learn/
• github: https://github.com/andosa/treeinterpreter

Machine learning - Random forests (by Nando de Freitas)

• youtube: https://www.youtube.com/watch?v=3kYujfDgmNk&hd=1
• lectures: http://www.cs.ubc.ca/~nando/540-2013/lectures.html

Codes

Random Forest demo in Javascript

• demo: http://cs.stanford.edu/people/karpathy/svmjs/demo/demoforest.html
• github: https://github.com/karpathy/forestjs