Sounds like a classification problem. You can try to see the steps as
features and use classification methods e.g. decision tree to train a
model. But it depends on what "reconstruct the steps" and "result" means.
Sören
On 01/09/2016 06:32 AM, Dominic Laflamme wrote:
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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