Image
EAN-139780335207237   EAN-13 barcode 9780335207237
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
SKU0929-WS0601-A01010-0335207235
Price New19.11 US Dollars    (curriencies)
Price Used2.99 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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Created02-26-2012 11:04:35pm
Modified06-15-2017 4:04:23am
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SHA25633ca706a72f0503e8fa9ae50e2cc93ab044e5a65a18971876ea4d807eb2c8807
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This is just a general comment to those that might be interested in some technical info about our site and how Google interacts with it.

Google is frigging amazing!

Their programmers are very curtious when it comes to their spiders and how they interact with various web sites. Apparently, they are sensative to the load that their spiders place on a web server and do a darn good job when it comes to not overloading a server.

Another major search engine is not quite so nice. If you don't tell them to leave you alone, they will hammer the heck out of your site and potentially bring you to your knees.

Over the past vew days, we have been doing a massive system backup to a couple new off-site backup servers. Normally, this process is pretty quick but because these were new servers they required fully syncronization. Well, I forgot to take into account the drain this could place on our server and I let more than one backup run at a time.

This caused our main server to experience a high load for several days. Google detected this load and backed off its crawling process which was very kind of them. The only bad thing is that when Google backed off, our monitoring process (mostly manual at this point) assumed everything was only slightly higher than normal.

Google may be awesome, but it can be frustrating some times too.

This cool and wonderful feature that Google has in place to prevent overloading a server had an unexpected side affect. Because Google thought our site was super busy (which it was) it reduced the number of people it was referring to the site too. DOH!

As we noticed the visitor count slowly drop we got very confused because the system load was still very high. And we noticed Google wasn't visiting as often as usual and then we saw it... The backup process had overloaded the system. Not to the extreme but enough to make Google think there was a problem. We still actually had plenty of bandwidth for real users just not as much for the bots that visit (which we limit when bandwidth is limited).

Anyway, it was a good learning experience and we are now seeing the referrals climb back up and the Google spider is picking up its pace again too.

We had to force a couple other bots (including that othe big search engine) to play nice because they were trying to take more than their share of our data.

All in all, Google is AWESOME and very powerful. So THANKS GOOGLE for playing nice with others!

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