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Must-See: Bin Yu: Three principles for data science: predictability, stability, and computability

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Must-See: Why “three principles”? Why not “five principles”? Bin Yu: Three principles for data science: predictability, stability, and computability: “September 12, 2017 :: 4:10pm to 5:00pm :: 190 Doe Library” https://bids.berkeley.edu/events/three-principles-data-science-predictability-stability-and-computability Bin Yu: Three principles for data science: predictability, stability, and computability: “Prediction is a useful way to check with reality… http://delivery.acm.org/10.1145/3110000/3105808/p5-yu.pdf? …Good prediction implicitly assumes stability between past and future. Stability (relative to data and model perturbations) is also a minimum requirement for interpretability and reproducibility of data driven results (cf. Yu, 2013). It is closely related to uncertainty

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Must-See: Why “three principles”? Why not “five principles”?

Bin Yu: Three principles for data science: predictability, stability, and computability: “September 12, 2017 :: 4:10pm to 5:00pm :: 190 Doe Library” https://bids.berkeley.edu/events/three-principles-data-science-predictability-stability-and-computability

Bin Yu: Three principles for data science: predictability, stability, and computability: “Prediction is a useful way to check with reality… http://delivery.acm.org/10.1145/3110000/3105808/p5-yu.pdf?

…Good prediction implicitly assumes stability between past and future. Stability (relative to data and model perturbations) is also a minimum requirement for interpretability and reproducibility of data driven results (cf. Yu, 2013). It is closely related to uncertainty assessment. Obviously, both prediction and stability principles cannot be employed without feasible computational algorithms, hence the importance of computability

https://www.youtube.com/watch?v=xqBW8QKs9q4

Bradford DeLong
J. Bradford DeLong is Professor of Economics at the University of California at Berkeley and a research associate at the National Bureau of Economic Research. He was Deputy Assistant US Treasury Secretary during the Clinton Administration, where he was heavily involved in budget and trade negotiations. His role in designing the bailout of Mexico during the 1994 peso crisis placed him at the forefront of Latin America’s transformation into a region of open economies, and cemented his stature as a leading voice in economic-policy debates.

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