Probability: Examples

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Related lectures (29)

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Generalization Error

Explores tail bounds, information bounds, and maximal leakage in the context of generalization error.

Convergence in Law: Theorem and Proof

Explores convergence in law for random variables, including Kolmogorov's theorem and proofs based on probability lemmas.

Elements of Statistics: Probability and Random Variables

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Conditional Probability: Basics and Examples

Explains conditional probability through dice and coin examples.

Probability and Statistics: Fundamental Theorems

Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.

Probability Fundamentals

Introduces fundamental probability concepts, including events, complements, conditional probability, and random variables.

Expectation Maximization: Learning Parameters

Covers the Expectation Maximization algorithm for learning parameters and dealing with unknown variables.

Law of Total Probability

Explores the Law of Total Probability and its applications in real-world scenarios, introducing key concepts in probability theory.

Probability and Random Variables: Key Concepts Explained

Explains key concepts in probability, including conditional probability, independence, and random variables, with practical examples to illustrate their applications.