About this document
Supervised Learning: Classification vs Regression by saileshmns is a document available to read on EtoBox.
This document discusses different types of machine learning problems: supervised learning where the goal is to predict labeled output variables from input data; unsupervised learning where the goal is to discover underlying patterns in unlabeled input data; and semi-supervised learning where some data is labeled and some is not. Supervised problems are further divided into regression to predict real values and classification to predict categories. Unsupervised problems include clustering to discover inheren
- Author
- saileshmns
- Language
- EN