Submitted by Anne-Laure Huet on
Pour sa prochaine séance de séminaire, mardi 3 mars 2020 (14h-16h), le médialab de Sciences Po accueille Laura K. Nelson, pour une intervention intitulée « L'inductivisme radical du machine learning ».
Résumé de la séance
"Machine learning is typically framed in the social sciences as a more sophisticated way to do regression analysis. I argue that this is an epistemological distortion: the mathematical assumptions behind machine learning are much closer to the epistemology of inductive methods than they are to the deductive requirements of regression analysis. Using examples from my own research, I show that machine learning can not only be used in qualitative and interpretive research, it is, down to its most basic assumptions, a radically inductive method."
[Sur inscription]
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