text:   classification of data science tasks",3,"['Data scientists define their work as “gaining insights” or “extracting meaning” from data. That is way too vague. \n\nWe propose that the contributions of #datascience can be organized into 3 classes of tasks:\n1. description\n2. prediction\n3. causal inference\n<LINK> <LINK>', '@chrisbboyer Thanks, Christopher.\n\nMullainathan &amp; Speiss do a terrific job at explaining how machine learning works in simple terms. They also explain the distinction between prediction and causal inference, though that is not the main objective of their paper. https://t.co/8o6qboakq4', '@kerinalthoff Several epidemiologists, biostatisticians (like Vittinghoff et al.), econometricians... have proposed a similar classification. We are looking for papers or textbooks that explicitly define these 3 categories. Suggestions welcome. The older the references, the better.']",18,04,820