This cheat sheet is specifically created for Machine Learning / Deep Learning Engineers. Although, it can be used by other people however, it is designed for them. Topics you can find in this cheat are as follows:
- Introduction to Probability and Combinatorics
- Conditional Probability (Bayes Rules)
- Random Variable
- Expectation and Moments of Distribution
- Marginal Density and Cumulative Distribution
- Parameter Estimation