rrwabina/Computational-Statistics

This is the repository for the Computational Statistics course covering numerical linear algebra, Gaussian processes, Newton’s method and optimization, numerical integration, Markov chain Monte Carlo (MCMC), the Bootstrap, density estimation, and machine learning (neural networks and deep learning).

Jupyter Notebook