https://www.cmpe.boun.edu.tr/~ethem/i2ml2e/
Lecture Slides:
- Introduction (pdf,ppt)
- Supervised Learning (pdf, ppt)
- Bayesian Decision Theory (pdf, ppt)
- Parametric Methods (pdf, ppt)
- Multivariate Methods (pdf, ppt)
- Dimensionality Reduction (pdf, ppt)
- Clustering (pdf, ppt)
- Nonparametric Methods (pdf, ppt)
- Decision Trees (pdf, ppt)
- Linear Discrimination (pdf, ppt)
- Multilayer Perceptrons (pdf, ppt)
- Local Models (pdf, ppt)
- Kernel Machines (pdf, ppt)
- Bayesian Estimation (pdf, ppt)
- Hidden Markov Models (pdf, ppt)
- Graphical Models (pdf, ppt)
- Combining Multiple Learners (pdf, ppt)
- Reinforcement Learning (pdf, ppt)
- Design and Analysis of Machine Learning Experiments (pdf, ppt)
