The Phantom Pattern Problem: The Mirage of Big Data

ISBN-13: 9780198864165 / Angielski / Twarda / 2020 / 240 str.

Gary Smith; Jay Cordes

Opis

Patterns in data are often used as evidence, but how can you tell if that evidence is worth believing? The Phantom Pattern Problem helps readers avoid being duped by data, tricked into worthless investing strategies, or scared out of getting vaccinations. Becoming a sceptical consumer of data is important in this age of Big Data.

Recenzje

...a worthwhile and enjoyable read, and so I happily recommend the book to anyone interested in the epistemological issues raised by Big Data. Frank Cabrera, Metascience

O autorze

Gary Smith is the Fletcher Jones Professor of Economics at Pomona College. Gary Smith is the Fletcher Jones Professor of Economics at Pomona College. He received his Ph.D. in Economics from Yale University and was an Assistant Professor there for seven years. He has won two teaching awards and written more than eighty academic papers and thirteen books. Jay Cordes is a data scientist who enjoys tackling challenging problems, including how to guide future data scientists away from the common pitfalls he saw in the corporate world. He earned a Math degree from Pomona College and more recently graduated from UC Berkeley's Master of Information and Data Science (MIDS) program.