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 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.
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: INDOO, Avenel, NJ, Estados Unidos de America
Condición: New. Brand New. Nº de ref. del artículo: 9780198864165
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 40958101-n
Cantidad disponible: 11 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: FU-9780198864165
Cantidad disponible: 5 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 40958101
Cantidad disponible: 11 disponibles
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
Condición: new. Nº de ref. del artículo: 79e03c4e47c14dbd0f2c6e53e93d4899
Cantidad disponible: 5 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: FU-9780198864165
Cantidad disponible: 5 disponibles
Librería: Prior Books Ltd, Cheltenham, Reino Unido
Hardcover. Condición: New. Estado de la sobrecubierta: New. First Edition. Dark blue hardback with gilt lettered spine, complete with original dustjacket. In new condition: firm and square with strong joints, no bumps, no rubs. Contents are crisp, tight and clean; no pen-marks. Thus a very nice copy that looks and feels unread, now offered for sale at a very reasonable price. Nº de ref. del artículo: 206145
Cantidad disponible: 1 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Hardcover. Condición: Brand New. 272 pages. 7.75x5.25x0.50 inches. In Stock. Nº de ref. del artículo: __0198864167
Cantidad disponible: 1 disponibles
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Hardcover. Condición: new. 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. Nº de ref. del artículo: 9780198864165
Cantidad disponible: 1 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: New. Nº de ref. del artículo: 40958101-n
Cantidad disponible: 6 disponibles