Introduction to Nonparametric Statistics and Machine Learning
Student No.:50
Time:Mon/Wed 13:00-14:50, 2013-09-16 ~ 2014-01-08 (except for public holidays)
Instructor:Michael Yu Zhu  [Purdue University]
Place:Conference Room 4, Floor 2, Jin Chun Yuan West Building
Starting Date:2013-9-16
Ending Date:2014-1-8




This is an introductory course in modern nonparametric statistics and machine learning algorithms.



Basic courses in probability, statistical inference, and linear regression





1. Wasserman: All of Nonparametric Statistics

2. Eggermont and LaRiccia: Maximum Penalized Likelihood Estimation Volume II: Regression

3. Scholkopf and Smola: Learning with Kernels

4. Rasmussen and Williams: Gaussian Processes for Machine Learning