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Ensembles (3): Gradient Boosting
Gradient boosting ensemble technique for regression
Logistic Regression
6.1 - Classification - [ Machine Learning ] By Andrew Ng
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Alpine Blog

Multinomial Logistic Regression With Apache Spark
Support vector machine - Wikipedia, the free encyclopedia

Support vector machine : In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.
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