Probability basics for DeepLearning - Joint Probability

Contributors

Total time needed: ~20 minutes

Objectives

This list will help you get an understanding about Joint Probability of >=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.

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ARTICLE 1. What is Joint Probability distribution

Provides intuitive understanding of Joint Probability distribution

5 minutes

ARTICLE 2. Example of Joint Probability distribution

Provides an example of Joint distribution in Discrete space

15 minutes

ARTICLE 3. Joint cumulative distribution function

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

10 minutes

ARTICLE 4. Joint Density function / Joint Mass Function

presents another way of expressing Joint Probability distribution which is via Joint Density function (Continuous) or Joint Mass Function (Discrete)