Mathematical Foundations and Algorithms for Machine Learning, 7.5 Credits
Mathematical concepts and methods at the core of machine learning, such as matrix methods, statistical methods and optimisation algorithms.
Level of education
Second cycle, has only first-cycle course/s as entry requirements (A1N)
School of Science and Technology
When is the course offered?
Prerequisites: Multivariate Calculus, 9 credits or Multivariate Calculus for MSc in Engineering, 7.5 credits, and Optimization, 7.5 credits, or Optimization for MSc in Engineering, 7.5 credits, as well as Statistics, Statistical Theory, Intermediate Course, 15 credits or Mathematical Statistics and Probability, 7.5 credits.
Selection: Academic points
Application code: X5737