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- Learning Objectives
- This list will help you get an understanding about Marginal Probability in a case with >=2 Random Variables
- Potential Use Cases
- Mathematical foundations behind Deep Learning
- Target Audience
- INTERMEDIATE

Go through the following **annotated items** *in order*:

ARTICLE 1. Define Marginal Probability distribution

Provides intuitive understanding of Marginal Probability distribution10 minutes

ARTICLE 2. Visual understanding

Visually explains how to get marginal probability distribution from joint distribution15 minutes

ARTICLE 3. Example of Marginal distribution calculation

Provides an example of Marginal distribution calculation10 minutes

ARTICLE 4. Marginal cumulative distribution function

Provides one way of expressing Marginal Probability distribution which is via Marginal cumulative distribution function. Understand how it is related to probability on 2 Random Variables10 minutes

ARTICLE 5. Marginal Probability distribution/ Marginal Mass Function

Presents another way of expressing Marginal Probability distribution which is via Marginal Density function (Continuous) or Marginal Mass Function (Discrete)15 minutes

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