Humans can influence both the framework and the goal. The framework is the machine learning architecture and algorithm.



The goal is the labeled dataset. This is the ceiling for how good a model can ever be. The labeled dataset directly programs the final model.





It gets “compiled” into the model via back propagation. As more and more of the software of the world is written with machine learning software, the amount of data required to power these systems will also grow.



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