Covers: theory of Probability Distribution
0Questions this item addresses:
- What are discrete and continuous distributions?
- What is the Bernoulli distribution?
- What is a binomial distribution?
- What is a geometric distribution?
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Read the document provided by D. Joyce from Clark University
Author(s) / creator(s) / reference(s)
D. Joyce
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Probability Distributions
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- 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
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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
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