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I took Andrew NG's ML class on Coursera. It was certainly interesting to see how ML works but I'm not sure what to do with this. Particularly, I'm still unsure
by yodsanklai 10y ago
I took Andrew NG's ML class on Coursera. It was certainly interesting to see how ML works but I'm not sure what to do with this. Particularly, I'm still unsure how to tell beforehand if a problem is too complex to be considered, how much data it'll require, what computing power is needed.
Are there a lot of problems that fall between the very hard and the very easy ones? and for which enough data can be found?
- gm-conspiracy 10y agoYou should take a look at Kaggle.com. There are lots of interesting problems, but what really was enlightening to me, was to look at the solved contests, and see what the winning solution implemented. http://blog.kaggle.com/category/winners-interviews/ http://blog.kaggle.com/category/winners-interviews/
- yodsanklai 10y agoThanks, exactly what I was looking for.