About this document
AI Algorithm Selection Guide by andri.wiratmono is a document available to read on EtoBox.
This document outlines the purpose and objectives of a lecture on algorithm selection and development for aspiring AI engineers. It covers how to determine the type of output and evaluation metrics for regression and clustering tasks, providing examples and evaluation metrics for each. Key evaluation metrics discussed include Mean Absolute Error, R-squared for regression, and Silhouette Score for clustering.
- Author
- andri.wiratmono
- Language
- EN