I started working on a small project - at least I thought so.
The idea is simple - I have a list of boolean values, which were randomly generated (provably fair but not completely random engine). Due to the engine's non-randomness, there are emerging patterns in the boolean outcome.
What I wish to do is quite simple in theory: recognize the pattern early on, and predict the next one based on all the previous data sets. I do realize that an actual implementation will be extremely frustrating to work with.
Could anyone give me an idea where to start with this?
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