About this document

Parametric Methods in Machine Learning by ABHILASH MS is a document available to read on EtoBox.

This document discusses parametric and non-parametric machine learning methods. Parametric methods make assumptions about the functional form of the model and estimate parameters. Non-parametric methods make no assumptions about the functional form. Parametric methods are simpler but may not match the true model, while non-parametric methods can fit a wider range of functions but require more data. There is a tradeoff between model flexibility/accuracy and interpretability.

Author

ABHILASH MS

Language

EN