First I'd like to apologize in advanced for the "noobiness" nature of my
question...
I'd like to get some early guidance into which path I should take to help
me solve a problem using machine learning.
The goal would be to use machine learning to "reconstruct the steps" needed
to take in order to get to a particular "result".
My assumption (perhaps misguided at this point) would be that I could feed
the system with a large amount of complete "examples" (steps + result) to
be eventually able to feed it a result in order to get a series of steps.
I know my question is broad, to say the least. But I feel that knowing the
right type of machine learning concept to apply to such a problem would
help me started.
Any insights on which category better suits my problem, and on whether my
assumptions are flawed?
Any and all comments greatly appreciated.
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