A really good and important talk about the issues associated with using Machine Learning in science (particularly physics and astrophysics). Some of the insights are really important, particularly about the math behind how statistical biases creep in (exponentiation of priors).
A really good and important talk about the issues associated with using Machine Learning in science (particularly physics and astrophysics). Some of the insights are really important, particularly about the math behind how statistical biases creep in (exponentiation of priors).