Concept
Spline
Cours associés (8)
MICRO-512: Image processing II
Study of advanced image processing; mathematical imaging. Development of image-processing software and prototyping in Jupyter Notebooks; application to real-world examples in industrial vision and bio
MATH-250: Advanced numerical analysis I
Construction and analysis of numerical methods for the solution of problems from linear algebra, integration, approximation, and differentiation.
MATH-408: Regression methods
General graduate course on regression methods
MATH-412: Statistical machine learning
A course on statistical machine learning for supervised and unsupervised learning
MATH-341: Linear models
Regression modelling is a fundamental tool of statistics, because it describes how the law of a random variable of interest may depend on other variables. This course aims to familiarize students with
DH-406: Machine learning for DH
This course aims to introduce the basic principles of machine learning in the context of the digital humanities. We will cover both supervised and unsupervised learning techniques, and study and imple
EE-726: Sparse stochastic processes
We cover the theory and applications of sparse stochastic processes (SSP). SSP are solutions of differential equations driven by non-Gaussian innovations. They admit a parsimonious representation in a
MATH-441: Robust and nonparametric statistics
In the decades from 1930 to 1950, many rank-based statistics were introduced. These methods were received with much interest, because they worked under weak conditions. Starting in the late 1950, a th