Probability Theory: Markov's Theorem

This lecture covers the fundamentals of probability theory, focusing on Markov's theorem and Chernoff bound. It explains the concept of good coloring, 2-colorable graphs, and hypergraphs. The instructor discusses quantitative and qualitative statements, central limit theorem, and independence of random variables. The lecture also delves into the Chernoff bound, Taylor expansion, and the existence of rare and common events.