Tuesday, 06 November 2007 14:44Machine learning is about adaptive thinking.....you don't directly code the solution, instead the computer finds and returns a solution. Typically statistically based and supervised. But unsupervised methods exist. Choose the correct topology and computing methods, feed in your sample data, and ask the computer to generalize the solution according to it's prior training experience.
O'Reilly Media | Programming Collective Intelligence - a great book about machine learning with code written in python.
Microsoft Solver Foundation - Express Edition - Home - $$ Modeling and solving scenarios by using constraints, goals, and data. Programming in the Optimization Modeling Language (OML), in C# imperatively, in F# functionally, or in any .NET Framework language.
Artificial Intelligence & Machine Learning | Artificial Intelligence , Soft Computing, Machine Learning, Computational Intelligence
Support Vector Machines (SVM) Fundamentals Part-I | Artificial Intelligence & Machine Learning - Support vector machine is a linear discriminant which not only classifies the patterns but also maximizes the margin..
2.7. Mathematical optimization: finding minima of functions — Scipy lecture notes
What do you mean that's undefined?! • How To: Setup a Machine Learning Environment
scikit-learn: machine learning in Python — scikit-learn documentation - Classification,regression,clustering,dimensionality reduction,model selection, preprocessing - Built on NumPy, SciPy, and matplotlib
Realtime Webcam Sudoku Solver - CodeProject - opencv,Hough transformation,OCR,Sudoku solver (brute force,naked single candidates,hidden single)
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Last Updated on Sunday, 24 November 2013 20:50