A nice story / interview about techniques and tools for ML
"Machine learning traditionally requires complex software, high-end computers, and seasoned data scientists who understand it all. For many startups and even large enterprises, it's simply too hard and expensive. Enter Azure Machine Learning, a fully-managed cloud service for predictive analytics. By leveraging the cloud, Azure Machine Learning makes machine learning more accessible to a much broader audience. Predicting future outcomes is now attainable."
http://azure.microsoft.com/en-us/documentation/services/machine-learning/
Blog Post: Video Tutorials on Microsoft Azure Machine Learning @ Mund consulting
Machine Learning for .NET http://numl.netsethjuarez/numl · GitHub
numl Documentation
"This library is designed to ease the use of standard Machine Learning algorithms by abstracting the conversion from standard collections of data types into their numerical representation. The numerical representations of these data type collections are then used to generate models to do prediction (Supervised Models) or data discovery (Unsupervised Models)."
http://azure.microsoft.com/en-us/documentation/services/machine-learning/
Blog Post: Video Tutorials on Microsoft Azure Machine Learning @ Mund consulting
Machine Learning for .NET http://numl.netsethjuarez/numl · GitHub
numl Documentation
"This library is designed to ease the use of standard Machine Learning algorithms by abstracting the conversion from standard collections of data types into their numerical representation. The numerical representations of these data type collections are then used to generate models to do prediction (Supervised Models) or data discovery (Unsupervised Models)."
