Hello,

I was wondering what the best way to approach learning the details of the 
implementation was. 
After getting the build ready and reading through some of the example clients, 
what should a newcomer explore to get a better grasp of how the implementation 
and the white paper differ? and possibly add their own modifications at the 
algorithmic level?

I’m interested in testing NUPIC from a machine learning perspective and using 
it as part of a number of comparative studies with clustering and learning 
algorithms. I haven’t been able to get a firm handle on how everything is 
implemented though. 

I’d appreciate any guidance in that respect :).

Best,
Nicholas
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