Lecture 00: Review on probability and statistics
Lecture 01: Robust two-sample test
Lecture 05: Survival
analysis
- Major update:
Discrete and continuous hazard and Greenwood formula.
Lecture 06: Density
estimation
- Major update:
Multivariate KDE, conditional KDE, and sampling from KDE.
Lecture 07: Regression
analysis
- Major update: General
basis approach and neural nets.
Lecture 08:
Classification
- Major update:
Restructure contents and add a general logistic regression
model.
Lecture 09: Empirical risk
minimization and concentration
-
Major update: Merge ERM and concentration inequalities.
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