greg, yes, lots of data. The trouble is selecting something that would be interesting to most people
here are some other resources: https://github.com/caesar0301/awesome-public-datasets https://github.com/curran/data On Thu, Oct 20, 2016 at 7:34 PM, greg heil <[email protected]> wrote: > There is a LOT of ~publicdata!-) > > There is also a LOT of encouragement to explore it using ~machine-learning. > > Brian (maybe others?) has made a shot at ML in ~feedforwardNN. > > Making good NN's though is very much a finickey, interacting with data, > thingee. > > An example, with many stubs, "Hello World"s for Jd, ML... > > Google gives a (Github'd) "~playground" example, that might be useful (in > JS). > > ---~ > https://www.google.com/publicdata/directory > http://www.infoworld.com/article/3131515/artificial- > intelligence/4-google-data-sets-to-kickstart-machine-learning.html > http://code.jsoftware.com/wiki/User:Brian_Schott/code/feedforwardNN > http://playground.tensorflow.org/ > > greg > ~krsnadas.org > ---------------------------------------------------------------------- > For information about J forums see http://www.jsoftware.com/forums.htm > ---------------------------------------------------------------------- For information about J forums see http://www.jsoftware.com/forums.htm
