Introduction Duda 1.1-1.2
Decision trees, machine learning dilemmas Alpaydin 4.7-4.8
Linear machines, SVM Duda 5.1-5.5.2, Alpaydin 13.1-13.3, 13.5-13.6
Regression, neural networks Alpaydin 4.6, 9.2.2, 13.10; Duda 6-6.3
Bayes decision theory, parameter estimation Duda 2.1, 2.2, 2.4-2.6, 3.1-3.5
Naive Bayes, non parametric classifiers Duda 4.1-4.4 (excluding 4.3.5), 4.6
Clustering Alpaydin 7.3, 7.7, 7.8
Recommender systems and Learning to rank
Reinforcement learning Alpaydin 18.1-18.5.1
On the oral exam, you got a topic from this list and after preparation time we talk about it.
Project requirements
Project plan template
An example presentation
Timeline:
13/03/2017 team registration (e-mail)
20/03/2017 task selection (e-mail) - link
03/04/2017 project plan (e-mail) - 2 pages
14/05/2017 deliverables (e-mail) - codes/scripts, data, results
16?/05/2017 presentation