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).

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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
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