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Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes by Wee Hyong Tok, Valentine Fontama, Roger Barga

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CHAPTER 4

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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: ...

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