Machine Learning & Neural Networks
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A support vector machine ( SVM ) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis . The standard SVM takes a set of input data and predicts, for each given input, which of two possible classes forms the input, making the SVM a non- probabilistic binary linear classifier .
Support vector machine - Wikipedia
6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, and Bayesian networks. The course will give the student the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work.
MIT OpenCourseWare - Machine Learning
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11Ants Analytics - Data Mining Software