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Machine Learning @Purdue
Fall 2011: STAT 598G: Introduction to Computational Statistics
Information
Syllabus
Topics
Announcements
Frequently Asked Questions
References
Books
C Programming
R Programming
UNIX/Linux
Statistics Online
Other
Schedule
Labs
Week 1: Logging into expert.ics.purdue.edu and using R
Week 2: More on R, Algorithms and Computational Complexity
Week 4: Using basic Unix Commands
Week 5: More in C
Week 6: Debugging in C
Week 7: Calling C from R
Week 9: GNU Scientific Libraries
Week 10: Random Sampling and Transformations
Week 11: Visualization in R:Histograms,Curves and 3-d surfaces
Week 12: Newton-Raphson Method
Week 13: Logistic Regression
Week 14: Expectation Maximization
Week 15: Expectation Maximization
Week 16: Kernel Density Estimation
Assignments
Programming
Written
Project
Books
C Programming
R Programming
UNIX/Linux
Statistics Online
Other
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courses/fall2011/598g/references.txt · Last modified: 2011/08/14 19:13 by skirshne
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