Covers: theory of Probability Distribution
Estimated time needed to finish: 15 minutes
##### Questions this item addresses:
• 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?
##### How to use this item?

Read section 3.9 of the book chapter

##### Author(s) / creator(s) / reference(s)
Goodfellow et al.
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### Probability Distributions

Contributors 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

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