Covers: theory of Marginal Prob density function and prob mass function
Estimated time needed to finish: 15 minutes
Why this is worth your time
Presents another way of expressing Marginal Probability distribution which is via Marginal Density function (Continuous) or Marginal Mass Function (Discrete)
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Read corresponding sections under Definition

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Wikipedia
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Probability basics for DeepLearning - Marginal Probability

Contributors
Total time needed: ~30 minutes
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
Who is This For ?
INTERMEDIATE
Click on each of the following annotated items to see details.
ARTICLE 1. Define Marginal Probability distribution
Provides intuitive understanding of Marginal Probability distribution
10 minutes
ARTICLE 2. Visual understanding
Visually explains how to get marginal probability distribution from joint distribution
15 minutes
ARTICLE 3. Example of Marginal distribution calculation
Provides an example of Marginal distribution calculation
10 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 Variables
10 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

Concepts Covered

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