Image
EAN-139780415244909   EAN-13 barcode 9780415244909
Product NamePredictive Analytics: The Power To Predict Who Will Click, Buy, Lie, Or Die
LanguageEnglish
CategoryBook / Magazine / Publication
Short DescriptionHardcover
Amazon.comA Buy on Amazon ~ 1118356853
SKUBD3137054
Price New19.11 US Dollars    (curriencies)
Price Used8.56 US Dollars    (curriencies)
Width1.1 inches    (convert)
Height9.3 inches    (convert)
Length6.3 inches    (convert)
Weight18.88 ounces    (convert)
AuthorEric Siegel
Page Count320
BindingHardcover
Published02/19/2013
Long Description

“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 9 languages

An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics 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
 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 — and Hillary for America 2016 plans to calculate — 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.
  • 183 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.

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Created06-16-2012 1:05:00am
Modified04-22-2017 4:41:53am
MD54a27a2ff989230328baebb4a6fcf90d0
SHA256e6a37823024f460bf9e71e0e5e99560950a1f1db51e2e6ef8d7ae20257e4c572
Search Googleby EAN or by Title
Query Time0.0107510

This describes how to use version 2.x of the data feed. Version 1.x of the feed is no longer supported in any way.

Accessing the data requires your account to have an active data feed. This switch can be turned on or off on the data feed page. This is also where you will be able to view your KEYCODE which is required to make calls to the feed.

You must always pass these...

When looking up data...

When updating data...

To download the list of categories...

The feed return data structure...

All fieds are returned regardless of the result. Check the status code before trying to make use of any of the data returned. As long as the code you send is valid (not an error) the barcode field will hold a link to a baccode graphic. If you get a 404 error because we can't find the product, you may still get valid data in the company section so you may want to check the company name field.

status
    find     the find value you sent in your request
    code     200 = success, 404 = not found, 400 and 500 = error
    message     details about the code
    version     feed version number
product
    modified     YYYY-MM-DD HH:MM:SS (24 hour time)
    ean13     13 digit EAN-13 code
    upca     12 digit UPC-A code (may be n/a)
    upce     8 digit UPC-E code (may be n/a)
    product     the name of the product
    description     size, weight, count, color, etc.
    category_no     numeric category code
    category_text     text version of the category
    url     a link to the product page (not on our site)
    image     a link to an image of the product (on our site)
    has_long_desc     does this product have a long description (1/0)
    barcode     a link to a barcode image (on our site)
    locked     is this data locked from updates (1/0)
company
    name     company name
    logo     a link to a company logo (on our site)
    url     a link to the company's official web site
    address     the company's mailing address
    phone     the company's phone number (digits only)
    locked     is this data locked from updates (1/0)

You will need to make requests for the content of the long description in a separate call get=long_desc to the GET or POST request. In this case, you will only get back the long description. The return structure of the long description data looks like this...

status
    find     the find value you sent in your request
    code     200 = success, 404 = not found, 400 and 500 = error
    message     details about the code
    version     feed version number
product
    modified     YYYY-MM-DD HH:MM:SS (24 hour time)
    long_desc     the long description for the product
    locked     is this data locked from updates (1/0)
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