Chapter 1: Introduction

This chapter introduces the concept of statistical learning, which refers to a set of tools for understanding data.

Key Concepts

• Supervised vs Unsupervised Learning: Supervised learning involves predicting an output based on input features, while unsupervised learning finds patterns in data without labeled outputs.
• Regression vs Classification: Regression predicts continuous outputs, classification predicts categorical ones.

Applications

Statistical learning is used in various fields like finance, biology, and marketing.