Advances in machine learning (ML) are poised to transform numerous occupations and industries. This raises the question of which tasks will be most affected by ML. This paper, written by Erik Brynjolfsson, Tom Mitchell, and Daniel Rock, applies the rubric evaluating task potential for ML.
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