Mathematical Foundations for Machine Learning


The goal of this course is to provide students with the necessary mathematical tools in linear algebra, multidimensional calculus, special functions, probabilistic and numerical methods to learn and understand machine learning algorithms as being taught in subsequent courses at HSR.

Kurse in diesem Modul

Mathematical Foundations for Machine Learning:
  • Introduction to multivariable calculus
  • Analytical and numerical methods to deal with multivariate and constrained optimization problems
  • Summary of special functions and statistical methods which are heavily used in the domain of machine learning
  • Selected topics from linear algebra (e.g. symmetric matrices and rotation matrices, coordinate transformations, eigenvalues and eigenvectors, scalar product, norm, tensors)
Vorlesung mit 3 Lektionen pro Woche
Uebung mit 1 Lektionen pro Woche

Diese Beschreibung ist rechtlich nicht verbindlich! Weitere Informationen finden Sie in der detaillierten Modulbeschreibung.