Jump to ContentJump to Main Navigation
The 9 Pitfalls of Data Science - Oxford Scholarship Online
Users without a subscription are not able to see the full content.

The 9 Pitfalls of Data Science

Gary Smith and Jay Cordes

Abstract

Scientific rigor and critical thinking skills are indispensable in this age of big data because machine learning and artificial intelligence are often led astray by meaningless patterns. The 9 Pitfalls of Data Science is loaded with entertaining real-world examples of both successful and misguided approaches to interpreting data, both grand successes and epic failures. Anyone can learn to distinguish between good data science and nonsense. We are confident that readers will learn how to avoid being duped by data, and make better, more informed decisions. Whether they want to be effective creat ... More

Keywords: data science, artificial intelligence, big data, machine learning, AI

Bibliographic Information

Print publication date: 2019 Print ISBN-13: 9780198844396
Published to Oxford Scholarship Online: September 2019 DOI:10.1093/oso/9780198844396.001.0001

Authors

Affiliations are at time of print publication.

Gary Smith, author
Fletcher Jones Professor of Economics, Pomona College

Jay Cordes, author
Data Scientist