Covers: theory of Joint Probability density function/ probability mass function
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##### Why this is worth your time
presents another way of expressing Joint Probability distribution which is via Joint Density function (Continuous) or Joint Mass Function (Discrete)
##### How to use this item?

Read section Joint density function or mass function

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### 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.
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

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