Prof. Lucila Ohno-Machado = LOM
Prof. Staal Vinterbo = SV
Lec # | Topics | Lecturer |
---|---|---|
1 | Introduction to Course (PDF - 1.2 MB) | LOM |
2 | Decision Analysis 1 (PDF) | LOM |
3 | Decision Analysis 2, Linear Regression (PDF) | LOM |
4 | Predictive Modeling, Data Collection | SV |
5 | Logistic Regression, MLE (PDF) | LOM |
6 | Evaluation (PDF) | LOM |
7 | Instance-based Models 1 - kNN | SV |
8 | Instance-based Models 2 - Trees and Rules | SV |
9 | Homework 2 - Trees and Rules | SV |
10 | Ensemble Models (PDF) | LOM |
11 | PCA, LDA (PDF) | LOM |
12 | Unsupervised Learning (PDF) | LOM |
13 | Neural Networks (PDF - 1.2 MB) | LOM |
14 | Homework 2 - Trees and Rules | SV |
15 | Review (PDF) | LOM |
16 | Survival Analysis (PDF) | LOM |
Midterm | SV | |
17 | Statistical Learning Theory (PDF) | SV |
18 | Model Construction Schemas 1 (PDF) | SV |
19 | Model Construction Schemas 2 | SV |
20 | Preprocessing Algorithms 1 | SV |
21 | Preprocessing Algorithms 2 | SV |
22 | Analysis of Problems, Complexity (PDF) | SV |
23 | Search Algorithms | SV |
24 | Bioinformatics 1 (Hypothesis Generation, Sequence Alignment) (PDF 1) (PDF 2) experiment.r (R) | SV |
25 | Bioinformatics 2 (Phylogenetic Trees, Haplotype Tagging) | SV |
26 | Student Project Presentation 1 | SV |
27 | Student Project Presentation 2 | SV |