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Электронный каталог: Siegel, E. - Predictive analytics : the power to predict who will click, buy, lie, or die
Siegel, E. - Predictive analytics : the power to predict who will click, buy, lie, or die
Книга
Автор: Siegel, E.
Predictive analytics : the power to predict who will click, buy, lie, or die
Издательство: Wiley, 2016 г.
ISBN 978-1-119-14567-7
Автор: Siegel, E.
Predictive analytics : the power to predict who will click, buy, lie, or die
Издательство: Wiley, 2016 г.
ISBN 978-1-119-14567-7
На полку
Книга
Siegel, E.
Predictive analytics : the power to predict who will click, buy, lie, or die / E. Siegel . – Hoboken, N.J. : Wiley, 2016 . – 332 p. – На англ. яз. - ISBN 978-1-119-14567-7 .
This book is easily understood by all readers. Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques. You have been predicted – by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales. How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future – lifting a bit of the fog off our hazy view of tomorrow – means pay dirt. In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: what type of mortgage risk Chase Bank predicted before the recession; predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves; why early retirement decreases life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death, including one health insurance company.
316
303
General = Sociology
General = Social science methods
Коллекции = Открытая научная библиотека
Siegel, E.
Predictive analytics : the power to predict who will click, buy, lie, or die / E. Siegel . – Hoboken, N.J. : Wiley, 2016 . – 332 p. – На англ. яз. - ISBN 978-1-119-14567-7 .
This book is easily understood by all readers. Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques. You have been predicted – by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales. How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future – lifting a bit of the fog off our hazy view of tomorrow – means pay dirt. In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: what type of mortgage risk Chase Bank predicted before the recession; predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves; why early retirement decreases life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death, including one health insurance company.
316
303
General = Sociology
General = Social science methods
Коллекции = Открытая научная библиотека