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mr.ore

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Also, if you're looking at statistical techniques, Gizmo used to go on about Cluster Analysis a lot. Might be worth a look...

That's what a bottom layer of my neural network does. Similar patterns are assigned a symbol and then top layer learns to fit the symbol to correct reaction. Actually for roulette it would be better just to translate patterns or results to symbols manually and train a better network over that. Because now the network has to learn a) patterns -> symbols, b) symbols -> action and it takes too much time. Advantage is that I can use same code for anything I want without much thinking.

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Roulettebeater

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Hi M.ORE,

i read with interest your thread, i have solid experience in data analytics and machine Learning.
were you able at the end to get some pecial results from applying NN to roulette ?

looking forward to hear from you
A dollar won is twice as sweet as as a dollar earned