About this document
Understanding Supervised Learning Basics by palapadusachivalayam is a document available to read on EtoBox.
Supervised learning is a machine learning approach that utilizes labeled data to train algorithms, enabling them to make predictions on new, unlabeled data. It is divided into two main categories: regression, which predicts continuous values, and classification, which predicts categorical values. In contrast, unsupervised learning works with unlabeled data to discover patterns and relationships without prior training, making it suitable for tasks like clustering and association.
- Author
- palapadusachivalayam
- Language
- EN