11–20 of 39 posts
How is there no training time delay? How is training all these classifiers not putting my CPU into a sweat?? edit: I should also mention: these is very cool :)
Looks like K-nearest neighbor does pretty well.
Yes, k-nn is theoretically the one of the best ML algorithms in the sense that it will find the closest items in the training set. For classification or finding similar looking items it is great. However, it has pretty poor running times for evaluation of unseen data ( http://nlp.stanford.edu/IR-book/html/htmledition/time-comple... ). This is contrary to something like neural networks, which take a while to train, bu…
It maintains trees of examples that let it train and respond to test queries in logarithmic time with the number of stored examples, which can be much less than the overall number of training samples. It thus maintains k-NN's property of very fast training time, and is also an online algorithm, and can be used for regression problems as well as classification.
See our paper that was presented at AAAI 2015 here: http://www.disneyresearch.com/publication/the-boundary-fores...
For learners it is confusing to see the nonlinear decision boundaries for linear and logistic regression, IMO a note about the feature expansion should be added
Awesome. Would be great to have execution times. Also what is nerdy.js? I saw it was related to "Carl Edward Rasmussen" but couldn't find another reference on the net
I'm intrigued also. Definitely some sort of Machine Learning related library anyway. Found something related to it but it doesn't really have any substantial information on it either: http://nerdyjs.appspot.com/
Sounds interesting, but I can't see the results with Firefox 38.2.1.
Looks like K-nearest neighbor does pretty well.
Looks like K-nearest neighbor does pretty well.
Yes, k-nn is theoretically the one of the best ML algorithms in the sense that it will find the closest items in the training set. For classification or finding similar looking items it is great. However, it has pretty poor running times for evaluation of unseen data ( http://nlp.stanford.edu/IR-book/html/htmledition/time-comple... ). This is contrary to something like neural networks, which take a while to train, bu…