Today I listened to a talk by Alex Vespignani on data science and epistemology. It was a great talk. Alex referenced a paper by Hosni and Vulpiani "Forecasting in light of Big Data". I downloaded it right away and read it. It is a great paper. Both Alex talk and the paper touches on the relation between modeling (theory) and data (ML/AI) and when to use what for what purpose. Alex especially discussed the limitations of data and ML (same as in the paper). This is interesting to anyone who is thinking about using ML and AI for problem-solving or forecasting.
Hosni, H., & Vulpiani, A. (2018). Forecasting in light of big data. Philosophy & Technology, 31(4), 557-569.
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