The Big Idea
Machine learning is fragmented into five separate paradigms that each model learning in fundamentally different ways, from mimicking the brain to applying evolutionary principles. Domingos organizes the field through these five tribes and argues that the larger ambition is to synthesize their strengths into a single Master Algorithm that could learn to solve many kinds of problems and support increasingly capable digital models of ourselves.
