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Supervised Machine Learning with Python
book

Supervised Machine Learning with Python

by Taylor Smith
May 2019
Intermediate to advanced
162 pages
4h 24m
English
Packt Publishing
Content preview from Supervised Machine Learning with Python

Non-parametric learning

Non-parametric models do not learn parameters. They do learn characteristics or attributes about the data, but not parameters in the formal sense. We will not end up extracting a vector of coefficients. The easiest example is a decision tree. A decision tree is going to learn where to recursively split data so that its leaves are as pure as possible. So, in that sense, the decision function is a splitting point for each leaf that is not a parameter.

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Publisher Resources

ISBN: 9781838825669