The Phantom Pattern Problem (Hardcover)
Language: English
Published by Oxford University Press, Oxford, 2020
- First Edition
- Hardcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
£ 48.70
Quantity: 1 available
Add to basketItem description from seller
Hardcover. Pattern-recognition prowess served our ancestors well, but today we are confronted by a deluge of data that is far more abstract, complicated, and difficult to interpret. The number of possible patterns that can be identified relative to the number that are genuinely useful has grown exponentially - which means that the chances that a discovered pattern is useful is rapidly approaching zero.Patterns in data are often used as evidence, but howcan you tell if that evidence is worth believing? We are hard-wired to notice patterns and to think that the patterns we notice are meaningful. Streaks, clusters, and correlations are the norm, not theexception. Our challenge is to overcome our inherited inclination to think that all patterns are significant, as in this age of Big Data patterns are inevitable and usually coincidental.Through countless examples, The Phantom Pattern Problem is an engaging read that helps us avoid being duped by data, tricked into worthless investing strategies, or scared out of getting vaccinations. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9780198864165
- Title
- The Phantom Pattern Problem (Hardcover)
- Author
- Gary Smith
- Publisher
- Oxford University Press, Oxford
- Publication year
- 2020
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0198864167
- ISBN 13
- 9780198864165
- Edition
- 1st Edition
Patterns in data are often used as evidence, but how can you tell if that evidence is worth believing? We are hard-wired to notice patterns and to think that the patterns we notice are meaningful. Streaks, clusters, and correlations are the norm, not the exception. Our challenge is to overcome our inherited inclination to think that all patterns are significant, as in this age of Big Data patterns are inevitable and usually coincidental.
Through countless examples, The Phantom Pattern Problem is an engaging read that helps us avoid being duped by data, tricked into worthless investing strategies, or scared out of getting vaccinations.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
Grand Eagle Retail
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AbeBooks seller since October 12, 2005
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