The Missing Piece
summary
Main claim: machine learning projects fail less from bad models and more from missing decision frameworks and domain wisdom, based on lessons learned at Google. Proposes building a decision-focused discipline that assembles practical rules from philosophy, social science, neuroscience and management and connects them to data pipelines. Describes concrete goal: transform information into better actions by integrating managerial and social sciences with current data tools and harvesting existing decision heuristics rather than reinventing them.
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