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Tree based algorithm have it's place. I dunno what your definition of depth is but it all depends on your data. I'm doing a thesis on tree based algorithm and
by digitalzombie 9y ago
Tree based algorithm have it's place. I dunno what your definition of depth is but it all depends on your data.
I'm doing a thesis on tree based algorithm and it works great for medical data.
Granted I have little exposer to NN, you can't do that with NN when clinical trials data is small as hell.
It's all base on the type data and your resource and criteria.
NN is really hype and people tend to over look other algorithms but NN is not a silver bullet. I don't get how you rank those importance either, it could be bias.
- eachro 9y agoOh there's no question that tree based methods are effective - random forests/gradient boosted trees routinely win kaggle competitions. But I was more referring to how random forests is learnable in a day, whereas deep learning would probably take at least a few weeks to learn properly.