The Carnegie Pulse: Pulse Scheduler: 10-701 Machine Learning

10-701 Machine Learning

Units: 12.0
Department: Center for Auto. Learning & Disc.
Cross-listed: 15-781
Related URLs: http://www.cmu.edu

It is hard to imagine anything more fascinating than automated systems that improve their own performance. The study of learning from data is commercially and scientifically important. This course is designed to give a graduate-level student a thorough grounding in the methodologies, technologies, mathematics and algorithms currently needed by people who do research in learning and data mining or who may need to apply learning or data mining techniques to a target problem. The topics of the course draw from classical statistics, from machine learning, from data mining, from Bayesian statististics and from statistical algorithmics. Students entering the class should have a pre-existing working knowledge of probability, statistics and algorithms, though the class has been designed to allow students with a strong numerate background to catch up and fully participate.

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Rank for this semester:	#288

Rank in this department:	#1

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Course textbooks

* Spring 2007 textbooks given as estimate for Spring 2008 requirements

	Pattern Recognition and Machine Learning (Information Science and Statistic Sections: A	The Elements of Statistical Learning Sections: A	S&H, taxes**	Total
Bookstore	$74.95	$93.75	$0.00	$168.70
Bookstore (used)	$56.25	$70.50	$0.00	$126.75
Amazon			$3.00	$3.00
Amazon Marketplace*			$0.00	$0.00
Powells	$67.50	$80.95	$0.00	$148.45
Booksamillion	$82.45	$98.95	$0.00	$181.40
eCampus	$117.50	$10.00	$0.00	$127.50