Books
Lectures
- What is data mining - a map
- Supervised, unsupervised and semi-supervised learning
- Interference vs. prediction
- Statistics vs. machine learning
- Regression vs. classiffication problem
- Building a model: training, validation and test data
- Model flexibility, overfitting, bias/variance decomposition
- Optimal (Bayes) model, naive Bayes model
- K-nearest neighbours model
- Curse of dimensionality
- Parametric vs. non-parametric models
...