Core machine learning techniques — such as classification, perceptron, neural networks, support vector machines, hidden Markov models, and nonparametric models of clustering — as well as fundamental concepts such as feature selection, cross-validation, over-fitting and expectation maximisation.
Prof. Sterne, Berlin, Germany, Fall 2019.
- Predicting UFC fights