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Probability

Random variables, conditioning, Bayes’ rule, limit theorems, and stochastic thinking — the toolkit for reasoning under uncertainty.

6 resources

3 types

Jump to YouTube 3 Courses 2 Articles 1

YouTube Playlists 3 playlists

3Blue1Brown — Essence of Probability

Visual storytelling around Bayes, Gaussians, the central limit theorem, and paradoxes. Builds intuition before you grind formal probability.

Harvard — Stat 110 with Joe Blitzstein

Full undergraduate probability course: conditioning, distributions, Markov chains, and more. Lectures match the free textbook and problem sets online.

ComprehensiveAcademic

MIT — 6.041SC Probabilistic Systems Analysis

MIT-style treatment of probability models, inference, and limit theorems with plenty of engineering-flavored examples. Good bridge to applied work.

IntermediateApplied

Courses 2 courses

MIT 6.041 — Probabilistic Systems Analysis

Complete OCW run with notes, problems, and exams. Aligns with the broad MIT treatment of probability used across EECS.

Khan Academy — Probability

Step-by-step units from basic counting through random variables. Useful for quick refreshers and drill on core skills.

Articles & References 1 read

Grinstead & Snell — Introduction to Probability (PDF)

Free textbook covering discrete and continuous probability through Markov chains. Classic reference you can keep offline.