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Lecture 2: Conditioning and Bayes' Rule

Introduces conditional probability, the multiplication rule, total probability and Bayes’ rule.

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MIT OpenCourseWare John Tsitsiklis intermediate 51 min

Why it is here

The mathematical continuation for a learner asking how new evidence should change a belief; reconstruct the conditioning event before substituting numbers.

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Level basis
Editorial judgement: the official syllabus assumes no previous probability, but requires 18.02 or a year of college-level calculus; these opening lectures develop a formal mathematical model.
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Provenance and reuse

MIT OpenCourseWare; original source https://ocw.mit.edu/courses/6-041-probabilistic-systems-analysis-and-applied-probability-fall-2010/resources/lecture-2-conditioning-and-bayes-rule/. Link and write original factual navigation by default; do not export cached descriptions, transcripts, media or logos as unrestricted data. Source reuse requires attribution, noncommercial use and share-alike where applicable.. Links, factual metadata and original navigation annotations only. No source page, transcript, image, video or restricted platform metadata is included in the reusable export.

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