Chapter

Evaluating a classifier

From crystal1

Concepts

1. Why is data science an important field to learn?

   "If this marks your first exposure to the new and exciting discipline of data science, you occupy an enviable position. Still in front of you is all the cool stuff, even the first few sparks of magic

2. What does the data-to-wisdom hierarchy reveal about the role of data?

   "When people ask me what data science is, here’s my go-to definition: deriving knowledge from data. But interpreting that phrase entails dissecting the difference between “knowledge” and “data,” two r

3. How do information, knowledge, and wisdom differ?

   "Knowledge\nNow knowledge is where the real action is. As shown in Figure 1.1, knowledge consists of generalizable truths. Here’s what I mean. Information is about specific individuals or occurrences.

4. Why must data scientists treat their conclusions with responsibility and uncertainty?

   "Before we dive into the nitty gritty, let me leave you with one more general thought. It’s actually an application of something Spiderman once said: “with great power comes great responsibility.” Her