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Well, this was unexpectedly excellent. I don't think "stick with supervised learning" is very good advice, though. Unsupervised techniques sometimes work well
by olooney 8y ago
Well, this was unexpectedly excellent.
I don't think "stick with supervised learning" is very good advice, though. Unsupervised techniques sometimes work well for NLP and has worked well for other domains, such as medical records[1]. In particular, anytime you have access to much more unlabeled data than labeled data, it should be something you should at least consider.
[1]: https://www.nature.com/articles/srep26094 https://www.nature.com/articles/srep26094
- m0zg 8y agoWhy "unexpectedly"? Karpathy has weapons grade knack for explaining complex subjects in plain terms. Case in point: http://karpathy.github.io/2016/05/31/rl/ http://karpathy.github.io/2016/05/31/rl/ explains RL in a way even a non-practitioner will have little trouble understanding. Another prominent person with this skill is Chris Olah, one of the people behind Distill.
- olooney 8y agoNot knocking on this author at all... It's just that nowadays if I see a title in the vein of "7 Tips to Train Deep Neural Nets for Complete Beginners On Rails With Keras and TensorFlow" I click on it more out of a sense of obligation than anything but I don't go in with very high expectations. So I was pleasantly surprised to find this article was substantive and high quality.