The Future of Machine Learning

Having an end to end machine learning life cycle is incredibly needed, and i don't think enough institutions are doing it yet. The ideal situation is that you have some thing like a container where, you know, you have your algritm. It doesn't matter if it's a protobuff file, s like a dot p b or a dot p y file if you're doing something with sychilern,. And then also, how do you deal with the data that you have in storage? Do you want to incorporate streaming data and all these other things like that. There was this great paper called t f x, tenser floe extended through two thousand 17, but