I dunno for NY you probably got a shit ton of baseball players , mostly Yankees , then GretzkyEwing ? Even though we won a championship with Frazier , who I personally think is the greatest Knick of all time , Ewing played in a more iconic era . I ' m curious where Eli Manning and Melo end up when all is said and done . <| sep |> Frederique Constant is a decent brand for that range <| sep |> Yeah tell me about it . Had my eyes open for anything for months . Don ' t even want a super discount , just not $ 900 . <| sep |> If I understand correctly your might be seeking to feed it say addition examples until it gets addition correct , then move onto subtraction , squaring , factorializing , pmdas , Bernoulli ' s equations , motion , astrological orbits , physiological mechanistic models , genetics , etc etc and on into higher more complex models . Isn ' t that all what we already do with higher level neutral nets and machine learning ? But for the lowest levels of mathematics , say your calculator , might be fastest with decision tree , but I have no idea on faster than regular math gpu or CPU methods as it ' s kinda designed to do math all day long , also might be less accurate until you have a monster set of all numbers in the decision tree and then is it faster to use a lookup table versus trees , I ' m not really sure , I mean finding a face or flower distinctions can have all sorts of wiggle room but math has only one answer . Can ' t have 11 4 with a probability range of 4 . Honestly I think it might be a nice thought exercise to at least determine the best methods that can be built up for super speed , or what ' s fastest or more specific to certain types of mathematics , to then feed it into understanding more complex mathematical models . But . Isn ' t that what machine learning using neural nets is already doing ? Building internal mathematical algorithms to solve something more complex than simple math . Either way I ' m curious to hear others more specific responses . EditSo I did some digging around . Here is some copy pasta . The holy grail You MUST clone the repo and run the webapp , otherwise it ' s just simulating a normal calculator . Also , Nearest neighbor regression nnr seems to be dumb enough to work pretty nicely for an accurate result . In case anyone wasn ' t aware , earlier this year there were some great experiments in learning simple mathematical algorithms , to arbitrary precision , from exampleslearning