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 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.
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© 2014 Valentine Fontama
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Barga, R., Fontama, V., Tok, W.H. (2014). Introduction to Statistical and Machine Learning Algorithms. In: Predictive Analytics with Microsoft Azure Machine Learning. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0445-0_4
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DOI: https://doi.org/10.1007/978-1-4842-0445-0_4
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-0446-7
Online ISBN: 978-1-4842-0445-0
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