The Master Algorithm
Pedro Domingos
The Master Algorithm asks whether one learning procedure could turn data into useful knowledge across science, business, machines, and everyday decisions. It maps five traditions—symbolic, neural, evolutionary, Bayesian, and analogical—then tests their possible synthesis against generalization, scale, privacy, work, and human control.
11 chapters