The Seattle Post-Intelligencer "The Freakonomics of big data. 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.
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.
Prediction is powered by the world's most potent, flourishing unnatural resource: data. Predictive Analytics unleashes the power of data.
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.
Bank and Obama for America calculated and Hillary for America plans to calculate the way to most strongly persuade each individual. 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. Report an issue with this product. Previous page. Publication date. Print length. See all details.
Next page. Customers who viewed this item also viewed. Page 1 of 1 Start again Page 1 of 1. Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. Eric Siegel. From the Publisher Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. What are the hottest trends in predictive analytics?
What is the coolest thing predictive analytics has done? What are companies predicting about me as a customer? Here are just a few examples: - Facebook predicts which of 1, candidate posts on average will be most interesting to you in order to personalize your ordered news feed.
Praise for "Predictive Analytics". Review Praise for Predictive Analytics "What Nate Silver did for poker and politics, this does for everything else.
Machine and the Quest to Know Everything "Simultaneously entertaining, informative, and nuanced. 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 behavior Chase Bank predicted 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 How U.
Bank and Obama's campaign calculated the way to most strongly influence each individual How IBM's Watson computer beat the human champs on TV's Jeopardy! 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 who stays in prison and who goes free What's predicted by Citibank, Facebook, Ford, Google, IBM, the IRS, Match.
com, Pfizer, and Wikipedia A truly omnipresent science, predictive analytics affects everyone, every day. From the Back Cover Praise for Predictive Analytics "What Nate Silver did for poker and politics, this does for everything else. ERIC SIEGEL, PhD, founder of Predictive Analytics World and Executive Editor of the Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating.
Eric is a former Columbia University professor who used to sing educational songs to his students and a renowned speaker, educator, and leader in the field. Read more. About the author Follow authors to get new release updates, plus improved recommendations. Brief content visible, double tap to read full content.
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Learn more how customers reviews work on Amazon. Images in this review. Sort reviews by Top reviews Most recent Top reviews. Top reviews from United Kingdom. There was a problem filtering reviews right now. Please try again later. Verified Purchase. Very good for getting new sources of inspiration in the age of Big Data.
One person found this helpful. This book do a nice introduction to predictive analytics theme. Very well writen. A great narrative into the field of Predictive Analytics, not much maths, perhaps for the first foray into this field.
Correlation is not Causation. The author debunks the use of judgement and intuition in certain decisions and argues the answer is what the data says, not why. Storytelling is in our nature and this is a difficult leap to make.
While Predictive analytics, in one or guise or another, has been continuing for decades, particularly in insurance, the author skilfully shows how today's computing power is the enabler for both simple, complex and multiple models.
And so what? The author continually links the analysis with an action. It is not analysis for analysis's sake, but a driver for change. This a powerful theme throughout the book.
Excelent book. How wrong I was! My eyes were opened, my interest caught and held throughout this fascinating book. There are many questions that come to mind when reading this book, but as you read on they are all very effectively answered by the author.
Predictive analytics are rooted in everyone's daily lives and can have a substantial effect on their future actions. I like the way Eric Siegel explains, giving examples that can be related to, so that even a total novice like myself has some insight into this fascinating subject.
This book is a must for anyone working in marketing. Even if they have previously explored this area, this book will open their eyes to further insight and could prove to be invaluable.
It is also a must for anyone wanting to understand how predictive analytics can work. I particularly liked the chapter on The Data Effect. Predicting the mood of Blog posts was fascinating, as a blogger myself this held my interest.
As for the Far Out, Bizarre and Surprising Insights, well you simply have to read it! I devoured every word! Can early retirement really decrease life expectancy?
What does your web browsing signify? This book will reveal all and it is written in such a way to hold the readers interest from start to finish. What effect do predictions have on the business world?
What predictions do famous names such as Google, Facebook, Citybank and others make? There is so much to discover in this easy to read and understand book. Anyone interested in the world of analytics will find this fascinating.
I was surprised at how much I enjoyed this book. Very well explained Dr Siegel! I think this deserves five stars. Provides a good overview of applications, but doesn't really explain any of the technical aspects behind the subject in any real depth.
One dimension of the "Information Age" is the extent to which those who offer a product or service know much more now than ever before about those who are most likely to buy or lease it. Meanwhile, prospective buyers know more now than ever before about that product or service as well as others with which it competes.
The implications of this information have wide and deep impact on marketing initiatives to create or increase demand for the given offering. The challenge to those in marketing is to obtain the information they need. Moreover, it must be accurate and sufficient as well as current.
Only then can sound predictions be made. According to Eric Siegel, however, "Learning from data to predict is only the first step. To take the next step and [begin italics] act on predictions [end italics] is to fearlessly gamble Launching predictive analytics means to act on its predictions, applying what's been learned, what's been discovered within data.
It's a leap many take - you can't win if you don't play. Read this book. These are among the questions to which Siegel responds: o Why must a computer learn in order to predict? o How can "lousy" predictions be extremely valuable?
o Why a predictive model into a field operation? What are the potential benefits of doing that? o To what extent if any do predictive mechanisms place civil liberties at risk?
o How does our emotional online social media chatter "flip the meaning of fraud on its head"? o What actually makes data predictive? o How does prediction transform risk to opportunity? o Why does machine learning require both art and science?
o What kind of predictive model can be understood by everyone? o What key innovation in predictive analytics has crowdsourcing helped to develop? o Why is human language such a challenge for computers? o Is artificial intelligence really possible?
o What is the scientific key to persuasion? o Why is trying to predict human behavior a bad idea? o How is a person like a quantum particle?
Siegel answers these and other questions throughout seven chapters filled with valuable information, insights, and counsel that enable him to explain how and why predictive analytics possesses "the power to predict who will click, buy, lie, or die.
The best works of non-fiction are research-driven and that is certainly true of this one, as indicated by 61 pages of notes Pages We brought our results to the security team and they were very happy but responded that they needed to review each case. We were then able to move to automated response and in one day closed many, many accounts that were bots and seized their funds as they playing against the rules of the site.
We really believe an inflection point is happening in the evolution of predictive analytics facilitated by Hadoop and we are excited to play our part. We concur with their take on the future:. Looking three to five years out, we expect to see far higher levels of artificial intelligence, as well as the development of distributed autonomous corporations DAC.
These self-motivating, self-contained agents, formed as corporations, will be able to carry out set objectives autonomously, without any direct human supervision.
Some DACs will certainly become self-programming. One current of opinion sees distributed autonomous corporations as threatening and inimical to our culture. But by the time they fully evolve, machine learning will have become culturally invisible in the same way technological inventions of the 20th century disappeared into the background.
The role of humans will be to direct and guide the algorithms as they attempt to achieve the objectives that they are given.
That is one lesson of the automatic-trading algorithms which wreaked such damage during the financial crisis of We are interested in your thoughts on the evolution happening within predictive analytics. You can write to us at donal. daly singularities. Arrange a Conversation.
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Based on this we believe in the evolution of predictive analytics will follow the roadmap below: As a technologist and evangelist for Big Data the pace of innovation, the broad range of tools emerging, the important role that open source is playing really excites me.
A tool like predictive analytics might not help my poker game, but it's definitely a game-changer for making informed decisions in the corporate Poker is a game of calculated risk, where players constantly weigh potential gains against possible losses. The same principle applies in the How I used data analytics to outmaneuver my opponents The fundamental reason why playing aggressive poker is more profitable than passive
man kann sagen, diese Ausnahme:)