Covers: theory of Probability Distribution
0
Questions this item addresses:
  • What are discrete and continuous distributions?
  • What is the Bernoulli distribution?
  • What is a binomial distribution?
  • What is a geometric distribution?
How to use this item?

Read the document provided by D. Joyce from Clark University

Author(s) / creator(s) / reference(s)
D. Joyce
0 comment
Recipe
publicShareStar

Probability Distributions

Collaborators
Total time needed: ~52 minutes
Objectives
Understand the concept of probability distributions
Potential Use Cases
Mathematical foundations for Deep Learning
Who is this for ?
BEGINNERDeep Learning practitioners new to Mathematical / Statistics foundations
Click on each of the following annotated items to see details.
VIDEO 1. Probability
  • What is probability?
  • How can we compare probabilities?
30 minutes
BOOK_CHAPTER 2. Probability Distribution
  • How to describe probability distribution of discrete variables?
  • How to describe probability distribution of continuous variables?
10 minutes
VIDEO 3. Introduction to Probability Distributions
  • What is a probability?
  • What's mean?
  • What's variance?
  • What's the difference between sample and population?
7 minutes
ARTICLE 4. Common Probability Distributions
  • What is a Bernoulli Distribution?
  • What is a Multinoulli Distribution?
  • What is a Gaussian Distribution?
  • What are the Exponential and Laplace Distributions?
  • What are the Dirac Distribution and Empirical Distribution?
15 minutes
BOOK_CHAPTER 5. Common Probability Distributions
  • What are discrete and continuous distributions?
  • What is the Bernoulli distribution?
  • What is a binomial distribution?
  • What is a geometric distribution?
10 minutes

Concepts Covered

0 comment