MIT OpenCourseWare

教學時程

課程單元 重要日期
1 Introduction to Course
2 Decision Analysis 1
3 Decision Analysis 2, Linear Regression
4 Predictive Modeling, Data Collection
5 Logistic Regression, MLE
6 Evaluation
7 Instance-based Models 1 - kNN
8 Instance-based Models 2 - Trees and Rules
9 Homework 2 - Trees and Rules
10 Ensemble Models
11 PCA, LDA
12 Unsupervised Learning
13 Neural Networks
14 Homework 2 - Trees and Rules Assignment due
15 Review
16 Survival Analysis
Midterm
17 Statistical Learning Theory
18 Model Construction Schemas 1
19 Model Construction Schemas 2
20 Preprocessing Algorithms 1
21 Preprocessing Algorithms 2
22 Analysis of Problems, Complexity
23 Search Algorithms
24 Bioinformatics 1 (Hypothesis Generation, Sequence Alignment)
25 Bioinformatics 2 (Phylogenetic Trees, Haplotype Tagging)
26 Student Project Presentation 1
27 Student Project Presentation 2