Covers the basics of the Lovász Local Lemma, including mutually independent bad events and pseudoprobabilities.
Covers the concept of events and tribes in probability theory, emphasizing the importance of defining valid tribes and their role in modeling random experiments.
Covers the basics of probability theory, including definitions, calculations, and important concepts for statistical inference and machine learning.
Explores the Monty Hall problem, discussing optimal strategies and challenging intuition.
Covers the concept of convergence in distribution for random variables and its significance in probability theory.
