Skip to main content
Graph
Search
fr
|
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Collisionless Boltzmann Equation
Graph Chatbot
Related lectures (31)
Previous
Page 3 of 4
Next
Calculations of Expectation
Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
Quantiles and Functions of Random Variables
Explains quantiles, functions of random variables, conditional densities, and variable transformations.
Fundamental Limits of Gradient-Based Learning
Delves into the fundamental limits of gradient-based learning on neural networks, covering topics such as binomial theorem, exponential series, and moment-generating functions.
Normal Distribution: Properties and Calculations
Covers the normal distribution, including its properties and calculations.
Probability Theory: Discrete Random Variables
Covers discrete random variables, probability mass function, properties, and binomial distribution with illustrative examples.
Distribution of Random Variables
Introduces the concept of the distribution of a random variable and explores specific cases of discrete and continuous random variables.
Estimating R
Covers the estimation of a random variable R and the calculation of conditional densities.
Families of Distributions: PDFs and CDFs
Explores PDFs and CDFs for discrete and continuous random variables, including Gaussian, uniform, and exponential distributions.
Probability Theory: Basics and Applications
Covers the fundamentals of probability theory, including conditional probability, Bayes' rule, and random variables.
Probability Theory: Random Variables and Independence
Explores discrete and continuous random variables, independence, and probability functions.