Abstract
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 regression, k-means for clustering, decision trees, boosted decision trees, neural networks, support vector machines, and Bayes point machines.
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© 2015 Roger Barga, Valentine Fontama, and Wee Hyong Tok
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Barga, R., Fontama, V., Tok, W.H. (2015). Introduction to Statistical and Machine Learning Algorithms. In: Predictive Analytics with Microsoft Azure Machine Learning. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-1200-4_6
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DOI: https://doi.org/10.1007/978-1-4842-1200-4_6
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-1201-1
Online ISBN: 978-1-4842-1200-4
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