4 ms·
Anyone have other good references for this topic?
by jarmitage 8y ago
Anyone have other good references for this topic?
- jclos 8y agoInterpretable ML [1] is a small online book on interpretable methods. Even if the content itself is rather shallow, it has links to a lot of more focused papers on the topic. Towards A Rigorous Science of Interpretable Machine Learning is one of the most thorough papers on interpretable ML that I have come across. The main author, Finale Doshi-Velez, has a done a lot of interesting work on interpretability [3]. [1] https://christophm.github.io/interpretable-ml-book/ https://christophm.github.io/interpretable-ml-book/ [2] https://arxiv.org/abs/1702.08608 https://arxiv.org/abs/1702.08608 [3] https://finale.seas.harvard.edu/publications https://finale.seas.harvard.edu/publications
- sibmike 8y agoHere is a great caltech lecture about why "simple" models have better out of sample performance. Jump to 28:00, if you want to get straight to the point. https://www.youtube.com/watch?v=EZBUDG12Nr0&list=PLD63A284B7615313A&index=17 https://www.youtube.com/watch?v=EZBUDG12Nr0&list=PLD63A284B7...