Probability Distributions: Discrete and Continuous

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (29)

Page 1 of 3

Covers the solutions to the midterm exam of a Probability Theory course, including calculations of probabilities and expectations.

Continuous Random Variables

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

Probabilistic Linear Regression

Explores probabilistic linear regression, covering joint and conditional probability, ridge regression, and overfitting mitigation.

Elements of Statistics: Probability and Random Variables

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

Probability and Statistics

Explores joint random variables, conditional density, and independence in probability and statistics.

Conditional Density and Expectation

Explores conditional density, expectations, and independence of random variables with practical examples.

Advanced Probabilities: Random Variables & Expected Values

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

Probability and Statistics: Fundamentals

Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.

Conditional Probability: Prediction Decomposition

Explores conditional probability, Bayes' theorem, and prediction decomposition for informed decision-making.

Probability and Statistics: Fundamental Theorems

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