Prediction Machines

Agrawal, Gans and Goldfarb frame machine learning in economic terms as a drop in the cost of prediction. When prediction gets cheap, its complements of judgement, data and action become more valuable. The book works through where prediction fits in a decision, how to identify tasks worth automating, the tradeoff between prediction accuracy and cost, and the strategic and organisational consequences.