This course gives a fundamental introduction to supervised Machine Learning.
Contents
- Linear Regression
- Model Assessment and Model Selection
- Bias-Variance Decomposition
- Bayesian Decision Theory
- Naive Bayes Classifier
- Linear Classifiers
- Neural Networks
- Trainer/in: Tolga Akar
- Trainer/in: Sahin Albayrak
- Trainer/in: Andreas Lommatzsch
- Trainer/in: David Schultz