How Not to Be Wrong: mathematical thinking for imperfect decisions
A review of Jordan Ellenberg's book, which teaches you to think mathematically without the fuss so you can navigate a world that demands perfect decisions from incomplete data.
How Not to Be Wrong (Jordan Ellenberg)
This book helps you grasp mathematical and statistical concepts in a simple way, the right hand of the previous one, Data Science for Business. Here we talk more technique and less process. Earns the Great Content seal. Working with data is also practicing your logical reasoning, and that makes all the difference for delivering on time and avoiding the dreaded data sloppiness.
Work with data, have good instincts, but run from statistics? Have a word with this friend.
Why we fear statistics
Math is about practice and a good abstraction of concepts. But, to be honest, most people keep their distance from it, let alone from statistics. That fear is a sign that, way back, no one managed to show how to use math in everyday life.
Perfect decisions in an imperfect world
That is why this book helps you deal with the imperfect world that demands perfect decisions. It has your back when the work has no complete data, no controlled environment, and no time to keep repeating experiments until you get it right. In short, it teaches you to think mathematically without complication, so you can navigate the real world with more confidence.