AForge
C# - extensive library for vision, AI, robotics etc
http://code.google.com/p/aforge/
http://www.codeproject.com/script/Articles/MemberArticles.aspx?amid=1181072
Emgu CV
.NET - wrapper to the Intel OpenCV image processing library
http://www.emgu.com/wiki/index.php/Main_Page
http://sourceforge.net/projects/emgucv/
Watchmaker Framework
Java - Evolutionary computation framework for evolutionary/genetic algorithms
http://watchmaker.uncommons.org/
ALGLIB
.NET - cross-platform numerical analysis and data processing library
http://www.alglib.net/
Infer.NET
.NET - Microsoft framework for running Bayesian inference in graphical models, used in a wide variety of domains including information retrieval, bioinformatics, epidemiology, vision
http://research.microsoft.com/en-us/um/cambridge/projects/infernet/default.aspx
Microsoft Solver Foundation
.NET - An extensible framework to model and solve complex problems by using constraints, goals, and data.
http://code.msdn.microsoft.com/solverfoundation
Weka Machine Learning Project
A collection of algorithms for solving real-world data mining problems
Software Tools
RapidMiner
Open-source system for data and text mining (Java based)
http://rapid-i.com/
http://sourceforge.net/projects/yale/
R Project
Free software environment for statistical computing and graphics
KNIME
The user-friendly and comprehensive open-source data integration, processing, analysis, and exploration platform.
Online books
A Field Guide to Genetic Programming (free pdf)
Poli, Langdon, McPhee (2009)
http://www.gp-field-guide.org.uk/
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (free pdf)
Hastie, Tibshirani, Friedman (2009)
http://www-stat.stanford.edu/~tibs/ElemStatLearn/
Information Theory, Inference, and Learning Algorithms (free pdf)
David J.C. MacKay (2003)
http://www.inference.phy.cam.ac.uk/mackay/itila/book.html
Evolutionary Computation in Java - A Practical Guide to the Watchmaker Framework (html)
Daniel W. Dyer
http://watchmaker.uncommons.org/manual/index.html
Planning Algorithms (free pdf)
Steven M. LaVall (2006)
http://planning.cs.uiuc.edu/
Evolution of Parallel Cellular Machines: The Cellular Programming Approach (free pdf)
Moshe Sipper (1997)
http://www.moshesipper.com/pcm/
Links and feeds
Interesting information visualisation blog
http://abeautifulwww.com/
Jürgen Schmidhuber's home page
http://www.idsia.ch/~juergen/
Stanford course in machine learning
http://www.youtube.com/view_play_list?gl=AU&hl=en-GB&p=A89DCFA6ADACE599
Podcast
http://www.biota.org/
Library of AI resources
http://www.aaai.org/AITopics/pmwiki/pmwiki.php/AITopics/HomePage
Data Mining and Analytics Resources
http://www.kdnuggets.com/
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