24 Feb

9h to 17h - Manfred Claassen (SIB and ETHZ) - Machine learning methods

We will present on learning parameters from data for various machine learning methods. We will focus on the corresponding optimization problems, convex and non-convex ones. This survey should exemplify how all (or most) machine learning techniques share a lot of conceptual similarity when it comes to learn their parameters from data. Examples and exercises will cover learning signaling network parameters from single cell time course data.

Exercises assignment