Chapter 1. Mathematical Preliminaries
Chapter 2. Probability
Chapter 3. Discrete Random Variables
Chapter 4. Continuous Random Variables
Chapter 5. Joint Distributions
Chapter 6. Sample Statistics
Notations
Machine Learning
Deep Learning
Optimization
References and Resources
Use Chan’s book and apply on Titanic.
Chan, Stanley H. “Chapter 4.6.3 Skewness and kurtosis.” In Introduction to Probability for Data Science, 216-220. Ann Arbor, Michigan: Michigan Publishing Services, 2021.
