A Handbook of Mathematical Models with Python

Table of Contents

1. Introduction to Mathematical Modeling
2. Machine Learning vis-à-vis Mathematical Modeling
3. Principal Component Analysis
4. Gradient Descent
5. Support Vector Machine
6. Graph Theory
7. Kalman Filter
8. Markov Chain
9. Exploring Optimization Techniques
10. Optimization Techniques for Machine Learning