ARTICLEJoint cumulative distribution function

Covers: theory of Joint Cumulative Distribution function
Why this is worth your time
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
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Read section Joint cumulative distribution function

Author(s) / creator(s) / reference(s)
Wikipedia
Shortlist
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Probability basics for DeepLearning - Joint Probability

Hardik SahiTotal time needed: ~20 minutes
Learning Objectives
This list will help you get an understanding about Joint Probability of >=2 Random Variables
Potential Use Cases
Mathematical foundations behind Deep Learning
Target Audience
INTERMEDIATE
Go through the following annotated items in order:
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)
10 minutes

Concepts Convered