"...a remarkably lucid, example driven text that anybody working near data would do well to read. ...Managers of data science teams stand to learn a great deal."
- D. Alex Hughes, PhD, Adjunct Assistant Professor, UC Berkeley School of Information
"The 9 Pitfalls of Data Science is the modern version of the classic book, How to Lie with Statistics. The authors write with authority, experience, and humor and makes for a very enjoyable and informative reading experience."
- Arthur Benjamin, Harvey Mudd College, Author and Mathemagician
"An excellent guide to what might go wrong as more and more businesses embrace data-driven decision-making."
- Avi Goldfarb, PhD, Rotman Chair in Artificial Intelligence and Healthcare.
"Gary Smith and Jay Cordes have a most captivating way and special talent to describe how easy it is to be fooled by the promises of spurious data and by the hype of data science."
- John P.A. Ioannidis, Stanford University
#CommissionsEarned
"Responsible data scientists should take heed of Smith and Cordes' guidance, especially when considering using AI in healthcare where transparency about safety, efficacy, and equity is life-saving."
- Michael Abramoff, MD, PhD, Founder and CEO of IDx
Other BOOKS from my professor buddies. Enjoy!
"Gary Smith and Jay Cordes offer up a veritable firehose of fabulous examples of the uses/misuses of all that 'big data' in real life. You will be a more informed citizen and better-armed consumer by reading their book ... and it couldn't come at a better time!
- Shecky Riemann, math blogger
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"Whether you manage a data science team or rely on data science to make critical decisions, this book illustrates how easy it is to draw wrong conclusions that appear to be supported by data."
- Bill Chui, Director, GrandCare Health Services
"Smith and Cordes guide us through interesting accounts of the prairie dog holes of data analysis where the inexperienced often break their ankles. I read it in two sittings."
- Robert J. Marks II, Ph.D., Director, The Walter Bradley Center for Natural & Artificial Intelligence
"This book provides practical advice for users of big data in a way that's easy to digest and appreciate, and will help guide them so that they can avoid its pitfalls."
- Joseph Halpern, Joseph C. Ford Professor of Engineering, Computer Science Depatrment, Cornell University
AAP 2020 Prose award winner
popular science & Popular Mathematics category
The 9 pitfalls of Data Science