Precio lista ed. digital: EUR 26,50
Precio Kindle: EUR 16,99

Ahorra EUR 9,51 (41%)

IVA incluido (si corresponde)

Estas promociones se aplicarán a este artículo:

Algunas promociones pueden combinarse; otras no. Para más detalles, revisa los términos y condiciones de cada promoción.

Enviar a mi Kindle o a otro dispositivo

Enviar a mi Kindle o a otro dispositivo

Anuncio de app de Kindle
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die de [Siegel, Eric]

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die Versión Kindle


Ver los 2 formatos y ediciones Ocultar otros formatos y ediciones
Precio Amazon
Nuevo desde Usado desde
Versión Kindle
EUR 16,99

Longitud: 356 páginas Word Wise: Activado Idioma: Inglés

Kindle Unlimited
Lee más de 1 millón de eBooks en cualquier dispositivo Kindle o en la aplicación gratuita Kindle. Pruébalo gratis durante 30 días

Descripción del producto

Descripción del producto

"Mesmerizing & fascinating..."  The Seattle Post-Intelligencer

"The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com

Award-winning | Used by over 30 universities | Translated into 12 languages

An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques.

Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die.

Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections.

How? Prediction is powered by the world's most potent, flourishing 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 (aka machine learning) 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 drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.

In this lucid, captivating introduction — now in its Revised and Updated edition — 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 even know it themselves.

  • Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights.

  • Five reasons why organizations predict death — including one health insurance company.

  • How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual.

  • Why the NSA wants all your data: machine learning supercomputers to fight terrorism.

  • How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy!

  • How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job.

  • How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison.

  • 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. 


How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more.

A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

Contraportada

TRANSLATED INTO 9 LANGUAGES USED IN COURSES AT MORE THAN 30 UNIVERSITIES

In this rich, fascinatingand surprisingly accessibleintroduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day.

Trendsetters like Chase, Facebook, Google, Hillary for America, HP, IBM, Match.com, Netflix, the NSA, Pfizer, Target, and Uber are seizing upon the power of big data to predict human behaviorincluding yours.

Why? Predictive analytics reinvents industries and runs the world. Read on to discover how it combats risk, boosts sales, fortifies healthcare, optimizes social networks, toughens crime fighting, and wins elections.

"What Nate Silver did for poker and politics, this does for everything else."
David Leinweber, author of Nerds on Wall Street

"The Freakonomics of big data."
Stein Kretsinger, founding executive, Advertising.com

"A deeply informative dive into a topic that is critical to virtually every sector of business today."
Geoffrey Moore, author of Crossing the Chasm

"Moneyball for business, government, and healthcare."
Jim Sterne, founder, eMetrics Summit

Learn more: www.ThePredictionBook.com


Detalles del producto

  • Formato: Versión Kindle
  • Tamaño del archivo: 4083 KB
  • Longitud de impresión: 356
  • Editor: Wiley; Edición: 2 (12 de enero de 2016)
  • Vendido por: Amazon Media EU S.à r.l.
  • Idioma: Inglés
  • ASIN: B019HR9X4U
  • Texto a voz: Activado
  • X-Ray:
  • Word Wise: Activado
  • Tipografía mejorada: No activado
  • Valoración media de los clientes: Sé el primero en opinar sobre este producto
  • Clasificación en los más vendidos de Amazon: n.° 77.121 de Pago en Tienda Kindle (Ver el Top 100 de pago en Tienda Kindle)
  • ¿Quieres informarnos sobre un precio más bajo?


Opiniones de clientes

No hay opiniones de clientes
Comparte tu opinión con otros clientes

Opiniones de clientes más útiles en Amazon.com

Amazon.com: 4,0 de 5 estrellas 312 opiniones
a. d. kyles
5,0 de 5 estrellasDoes your mother know your bad habits?
18 de enero de 2017 - Publicado en Amazon.com
Compra verificada
A 7 personas les ha parecido esto útil.
greg75
5,0 de 5 estrellasThis book is a great overview for anyone who is interested in applying Predictive Analytics.
20 de febrero de 2014 - Publicado en Amazon.com
Compra verificada
A 11 personas les ha parecido esto útil.
I Teach Typing
5,0 de 5 estrellasBeautiful non-technical writing
19 de mayo de 2014 - Publicado en Amazon.com
Compra verificada
A 4 personas les ha parecido esto útil.
john adam meier III
5,0 de 5 estrellasFive Stars
6 de abril de 2018 - Publicado en Amazon.com
Compra verificada
A 3 personas les ha parecido esto útil.
Anita Raquel
5,0 de 5 estrellasFive Stars
25 de agosto de 2015 - Publicado en Amazon.com
Compra verificada
A 9 personas les ha parecido esto útil.
click to open popover

Mis pedidos

Envíos y devoluciones

¿Necesitas ayuda?