Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud

15.2 Case Study: Classification with k-Nearest Neighbors and the Digits Dataset, Part 1

To process mail efficiently and route each letter to the correct destination, postal service computers must be able to scan handwritten names, addresses and zip codes and recognize the letters and digits. As you’ll see in this chapter, powerful libraries like scikit-learn enable even novice programmers to make such machine-learning problems manageable. In the next chapter, we’ll use even more powerful computer-vision capabilities as we study the deep learning technology of convolutional neural networks.

Classification Problems

In this section, we’ll look at classification in supervised machine learning, which attempts to predict the distinct class² to which ...