Chap1-Introduction.md

Introduction

Supervised learning

Given a training set of data (a set of features and outcomes), build a prediction model or learner, which will enable us to predict the outcome (quantitative or categorical) from new unseen objects.

• Classification problem predict qualitative outputs
• Regression problem: predcit quantitative outputs

Unsupervised learning

Given only the features, describe how the data are organized or clustered.

• Cluster