15 Math Concepts Every Data Scientist Should Know

Table of Contents

1. Recap of Mathematical Notation and Terminology
2. Random Variables and Probability Distributions
3. Matrices and Linear Algebra
4. Loss Functions and Optimization
5. Probabilistic Modeling
6. Time Series and Forecasting
7. Hypothesis Testing
8. Model Complexity
9. Function Decomposition
10. Network Analysis
11. Dynamical Systems
12. Kernel Methods
13. Information Theory
14. Non-Parametric Bayesian Methods
15. Random Matrices