kernel

ภาคพิเศษ: 204764-Artificial Intelligence


Lecturer: Jakramate Bootkrajang
Office : 15.00-16.00 Tuesday,Friday @ CSB 107
Email: jakramate.b@cmu.ac.th

Announcements
Welcome to course's homepage.
Syllabus
I. Introduction [slides]
II. Decision Tree Learning
ID3, C4.5, CART - [slides]
III Ensemble methods for decision tree
Regression tree and Ensemble methods [slides] animation
IV. Lab [slides]
Banana dataset -[download]
Boston dataset -[download]

Assignments

Useful resources
Books
Pattern Classification: Peter E. Hart, David G. Stork, and Richard O. Duda, WILEY.
Machine Learning: Tom Mitchell [pdf]
Julia programming
Julia Manual
Julia for Quantitative Economics
Julia by Examples
Similar courses at other universities
Penn State's STAT557 by Prof. Jia Li link
University of Washington's CSS490 by Prof. Jeffry Howbert link
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