Mostly stuff I teach myself, may it be useful to others. Also teaching materials for my classes at Ensimag.

During my PhD I taught Numerical Methods, Numerical Optimization, Computer Aided Geometric Design and Analysis for Engineers at Grenoble-INP Ensimag. I post here some extra computational materials (mostly Jupyter notebooks) that I prepared for my classes.

Some extra materials (Jupyter notebooks) for the at Ensimag.

- Finite differences and linear systems
- Ordinary differential equations - the (classical) motion of Mercury

A collection of jupyter/ipython notebooks on machine learning and optimization.

My solutions to the programming assignments in Andrew Ng’s Machine Learning mooc on Coursera.

- Exercise 1 - .
- Exercise 2 - Logistic Regression
- Exercise 3 - Multiclass Classification and Neural Networks