Week 01 — Introduction to Machine Learning

Arthur Samuel's 1959 checkers program: the program plays, the program improves, the code doesn't change. Sixty-five years later, every spam filter, credit scorer, and MRI tumor detector descends from that single intuition.

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Week 01 — Introduction to Machine Learning

Arthur Samuel's 1959 checkers program: the program plays, the program improves, the code doesn't change. Sixty-five years later, every spam filter, credit scorer, and MRI tumor detector descends from that single intuition.

Lecture

Tom Mitchell’s three-variable framing (task, experience, performance) · supervised / unsupervised / RL taxonomy · empirical risk minimization · the standard pitfalls of a first project (data leakage, test-set overfitting, miscalibrated metrics).

Read before the lecture

Reference text for this week: chapter 01 of the bilingual notes — EN PDF · FR PDF.