Introduction to Statistical and Machine Learning Algorithms
This chapter will serve as a reference for some of the most commonly used algorithms in Microsoft Azure Machine Learning. We will provide a brief introduction to algorithms such as linear and logistic regression, k-means for clustering, decision trees, decision forests (random forests, boosted decision trees, and Gemini), neural networks, support vector machines, and Bayes point machines.
This chapter will provide a good foundation and reference material for some of the algorithms you will encounter in the rest of the book. We group these algorithms into the following categories: ...