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Machine Learning Quick Reference
book

Machine Learning Quick Reference

by Rahul Kumar
January 2019
Intermediate to advanced content levelIntermediate to advanced
294 pages
6h 43m
English
Packt Publishing
Content preview from Machine Learning Quick Reference

Gradient boosting

To explain gradient boosting, we will take the route of Ben Gorman, a great data scientist. He has been able to explain it in a mathematical yet simple way. Let's say that we have got nine training examples wherein we are required to predict the age of a person based on three features, such as whether they like gardening, playing video games, or surfing the internet. The data for this is as follows:

To build this model, the objective is to minimize the mean squared error.

Now, we will build the model with a regression tree. To start with, if we want to have at least three samples at the training nodes, the first split of ...

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Publisher Resources

ISBN: 9781788830577Supplemental Content