Optimizay

This repository contains a collection of mathematical optimization algorithms demonstrating underlying concepts in an interactive manner using Jupyter notebooks with Binder support:

The content list is given below and subject to further expansion:

1. Univarite Newton-Raphson Minimization

   

2. Bivariate Gradient Descent vs. Newton-Raphson

   

3. Bivariate Newton Root-finding

   

4. Conjugate Gradient

   

5. Gauss-Newton vs. Levenberg-Marquardt

   

6. Stochastic Gradient Descent (SGD)

   

7. Feature Engineering - Titanic

   

8. Expectation Maximization

   

Credits

Author

Christopher Hahne