Links

Online Books and Resources on Data Mining:

- A Course in Machine Learning by Hal Daumé III.
- Andrew Moore's Online Tutorials
- Principles of Data Mining by Hand, Mannila and Smyth (The MIT Press)
- An Introduction to Data Mining by Dr. Saed Sayed
- A Few Useful Things to Know About Machine Learning by Pedro Domingos.

Books Provided by PSUT (free online):

- Data Mining : Practical Machine Learning Tools and Techniques by Witten, Frank and Eibe
- Data Mining : Concepts and Techniques by Han, Kamber and Micheline
- Discovering Knowledge in Data : An Introduction to Data Mining by Daniel T

Datasets:

- UCI Machine Learning Repository: http://archive.ics.uci.edu/ml/
- Datasets from Yahoo: http://webscope.sandbox.yahoo.com/catalog.php
- A list from KDNuggets: http://www.kdnuggets.com/datasets/index.html
- A list from CMU: http://lib.stat.cmu.edu/datasets/

Data Mining Competitions:

- Kaggle: http://www.kaggle.com/competitions
- KDD CUP Archive: http://www.sigkdd.org/kddcup/index.php
- TunedIT: http://tunedit.org/challenges

Data Mining Tools:

- WEKA: http://www.cs.waikato.ac.nz/ml/weka/
- RapidMiner: http://rapid-i.com/content/view/181/
- Orange: http://orange.biolab.si/
- Wikipedia's List: http://en.wikipedia.org/wiki/Data_mining#Software

Online Courses:

- Data Mining With WEKA(Waikato University)
- Intro. to Data Science (Washington University)
- Machine Learning (Washington University)
- Machine Learning: Supervised Learning (Udacity)
- Machine Learning: Unsupervised Learning (Udacity)