Machine Learning and Optimisation

Machine Learning and Optimisation #

Coure Description on UvA’s website

Topics #

This course will be a mix of machine learning theory and applications of this knowledge on large datasets.

Topics include:

  • Support vector machine;
  • Neural networks, deep learning, and stochastic gradient descent;
  • Boosting, column generation, and margin maximisation;
  • Bagging, random forest, optimal decision trees, and mixed-integer optimisation.

Teaching materials #