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Lecture Notes

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 (This resource may not render correctly in a screen reader.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