CS 454.A/554.A Introduction to Machine Learning and Artificial Neural Networks
Textbook: E. Alpaydın (2020). Introduction to Machine Learning, 3rd/4th ed., MIT Press.
Chapters
- Introduction
- Supervised Learning
- Bayesian Decision Theory
- Parametric Methods
- Multivariate Methods
- Dimensionality Reduction
- Clustering
- Nıonparametric Methods
- Decision Trees
- Linear Discrimination
- Multilayer Perceptrons
- Deep Learning
- Combining Multiple Learners
- Design and Analysis of ML Experiments
Grading
- Homeworks (40%)
- Project (40%)
- Final exam (20%)