About this document

Machine Learning Insights by Alessio Farcomeni by Valerio Zarrelli is a document available to read on EtoBox.

This document provides an introduction to machine learning concepts including prediction, classification methods, performance evaluation on training and test datasets, and overfitting/underfitting issues. Specific machine learning algorithms discussed include logistic regression, random forests, k-nearest neighbors, and the importance of variables and sample size. Key goals of machine learning are to balance complexity and fit while minimizing errors on new test data.

Author

Valerio Zarrelli

Language

EN