Machine Learning
- Pre deep-learning revolution (2008 approx)
- Linear Regression and Logistic Regression, classification and regression problems;
- Bayesian linear and logistic regression, kernel regression;
- Decisions trees, Random Forests, Bagging and Boosting methods;
- Support vector machines (only survey);
- Unsupervised learning and dimensionality reduction, from PCA to clustering;