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Hands-On Machine Learning on Google Cloud Platform
book

Hands-On Machine Learning on Google Cloud Platform

by Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli
April 2018
Beginner to intermediate
500 pages
11h 26m
English
Packt Publishing
Content preview from Hands-On Machine Learning on Google Cloud Platform

Random forest

Random forest is an extension of decision trees. It is a forest as it is a combination of multiple trees, and is random as we randomly sample different observations for each of the decision trees.

A random forest works by averaging the prediction of each of the decision trees (which work on a sample of the original dataset).

Typically, a random forest works better than a single decision tree, as the influence of outliers is reduced in it (because in some samples, outliers might not have occurred), whereas, in a decision tree, an outlier would have definitely occurred (if the original dataset contained an outlier).

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Publisher Resources

ISBN: 9781788393485