Machine Learning and Data Mining: 10 Introduction to Classification

This document provides an overview of classification techniques in machine learning and data mining, detailing supervised and unsupervised learning, model construction, and evaluation methods. It discusses the importance of inductive biases and generalization in classification, emphasizing the two-step process of building and testing classification models. The text also highlights various applications of classification, including credit approval and medical diagnosis.