Lecturer: Dell Zhang
Programme: MPhil and PhD
Date/Time: Tue 8 Nov 2011, 19:45-20:45 18:00-19:00 (Alex will give her lecture Logic and Language Theory Part II on Tue 29 Nov 2011)
Room: MAL 250 [BBK Maps]
Orange
Weka
RapidMiner
KNIME
Java Machine Learning Library
Java Data Mining Package
UCI Machine Learning Repository
Eric Mjolsness and Dennis DeCoste, Machine Learning for Science: State of the Art and Future Prospect, Science, Vol. 293. no. 5537, pp. 2051-2055, 14 September 2001.
Peter Norvig: Statistical Learning as the Ultimate Agile Development Tool, CIKM, Oct 2008.
Andrew Ng: Advice on Applying Machine Learning.
Paul Graham: A Plan for Spam.
Paul Graham: Better Bayesian Filtering.
Robert M. Bell et al.: The Million Dollar Programming Prize, IEEE Spectrum, May 2009.
Toby Segaran, Programming Collective Intelligence: Building Smart Web 2.0 Applications
Matthew Russell, Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
Satnam Alag, Collective Intelligence in Action
Haralambos Marmanis and Dmitry Babenko, Algorithms of the Intelligent Web
Hans Rosling: The Joy of Stats [Video].
Tom Mitchell, Machine Learning
Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach
Stephen Marsland, Machine Learning: An Algorithmic Perspective
Ian H. Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques
Christopher M. Bishop,
Pattern Recognition and Machine Learning
Richard Duda, Peter Hart, and David Stork, Pattern Classification
Anand Rajaraman and Jeff Ullman, Mining of Massive Datasets. (Chapter 1)
AAAI, AI Topic: Machine Learning (Good Places to Start).
Nils J. Nilsson, Introduction to Machine Learning, Draft of Incomplete Notes. (Chapter 1)
Andrew Moore, Statistical Data Mining Tutorials
David MacKay, Information Theory, Inference, and Learning Algorithms , Cambridge University Press, 2003. (Available for free online)