Artificial Intelligence and Machine Learning Fundamentals

Classification

Learning Objectives

By the end of this chapter, you will be able to:

• Describe the fundamental concepts of classification
• Load and preprocess data for classification
• Implement k-nearest neighbor and support vector machine classifiers

In chapter will focus on the goals of classification, and learn about k-nearest neighbors and support vector machines.

4

Introduction

In this chapter, we will learn about classifiers, especially the k-nearest neighbor classifier and support vector machines. We will use this classification to categorize data. Just as we did for regression, we will build a classifier based on training data, and test the performance of our classifier using testing data.

The Fundamentals of Classification

While ...