Machine Learning

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. [ Tom M. Mitchell ]

Homework assignments

• HW1: Decision trees. Assignment 1. Out Sept 16, due Sept 26.
• HW2: Probabilistic methods, Neural nets. Out Sept 26, due Oct 8.
• HW3: PAC Learning, SVM's, Cross validation, kNN. Out Oct 10, due Oct 29.
• HW4: Bayes nets. Out Oct 31, due Nov 14.
• HW5: Clustering, HMM's. Out Nov 14, due Nov 26.
• HW6: Markov processes and Reinforcement learning. Out Nov 26, due Dec 5.

Project

Reference

• Andrew Moore's tutorials page
• An introduction to Data Mining

Research Groups

• Data Mining Institute at University of Wisconsin
• Machine Learning Group at University of Toronto
• IBM Quest
• Intelligent Database Systems Research Laboratory at Simon Fraser University
• Statistic and data mining research at Bell Laboratory
• Data Mining Research Group at Imperial College
• Data Management, Exploration and Mining group at Microsoft
• Knowledge Discovery and Data Mining at IBM
• Center for Data Insight at Northern Arizona University
• WM Keck Earth Sciences and Mining Research Information Center at University of Nevada
• National Center for Data Mining at University of Illinois
• Data Mining Research Team at Los Alamos National Laboratory
• Data Warehouse Research Center at CIO
• CWI Data Mine project
• The Data Warehousing Knowledge Center
• University of East Anglia, Data Mining group
• University of Helsinki - From Data to Knowledge Project
• Information Analysis Programme, Information Technology Institute, Singapore
• ISS (Intelligent Supervisory System)
• Machine Learning System Group at Jet Propulsion Laboratory
• Microsoft Research Decision Theory Group
• Parallel and Distributed Intelligent Systems Lab, Columbia University
• UCLA Data Mining Laboratory
• Data Mining Research at HP
• Artificial Intelligent Research Group
• NeuroColt
• Computer Learning Research Center (CLRC) at University of London

Organizations

• DAMA International Data Management Association
• Support Vector Machine
• Learning Machine

Journals and Papers online

• Publications on Kernel Methods
• Computer Science Archives
• IEEE xplore
• IEEE Transaction on Pattern Recognition and Machine Intelligence
• Machine Learning
• Journal of Machine Learning Reseach

People Do Data Mining

• Bernhard E. Boser
• Bernhard Schölkopf
• John Platt
• Dr. Michael C. Burl
• Olvi L. Mangasarian
• Peter Bartlett
• Prof. Robert J. Schalkoff
• Christopher J. C. Burges
• Thorsten Joachims

Data Set

• CAVE Columbia Object Image Library
• DaISy - Database for the Identification of Systems
• Delve Datasets
• The MNIST Database of handwritten digits
• Statistical Reference Datasets
• StatLib Dataset Archive
• Benchmarking of learning algorithms
• UCI KDD archive
• UCI Machine Learning Repository