Java for Data Science by Richard M. Reese & Jennifer L. Reese

Author:Richard M. Reese & Jennifer L. Reese [Reese, Richard M.]
Language: eng
Format: azw3, mobi
Publisher: Packt Publishing
Published: 2017-01-09T16:00:00+00:00

In this chapter, we will only be able to touch on a few of these techniques. Specifically, we will illustrate three techniques that use supervised learning:

Decision trees: A tree is constructed using the features of the problem as internal nodes and the results as leaves

Support vector machines: Generally used for classification by creating a hyperplane that separates the dataset and then making predictions

Bayesian networks: Models used to depict probabilistic relationships between events within an environment

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