Category
Probability theory
Related lectures (952)
Probability Basics: Theory and Applications
Covers basic probability theory, conditional probability, independence, and Bayes' Theorem.
Probability and Statistics: Fundamentals
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Probabilistic Linear Regression
Explores probabilistic linear regression, covering joint and conditional probability, ridge regression, and overfitting mitigation.
Probability and Statistics
Introduces key concepts in probability and statistics, such as events, Venn diagrams, and conditional probability.
Elementary probability: Theory and calculations
Introduces elementary probability theory, set theory operations, and probability calculations with practical examples.
Conditional Probability: Prediction Decomposition
Explores conditional probability, Bayes' theorem, and prediction decomposition for informed decision-making.
Introduction to Probability Theory
Covers the basics of probability theory, including definitions, calculations, and important concepts for statistical inference and machine learning.
Probability and Statistics
Introduces key concepts in probability and statistics, covering random experiments, events, intersections, unions, and more.
Probability and Statistics: Fundamental Theorems
Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.
Stochastic Calculus: Lecture 1
Covers the essentials of probability, algebras, and conditional probability, including the Borel o-algebra and Poisson processes.