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Predictive Analytics Audiobook

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

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Publisher's Summary

"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 nine languages

An introduction for everyone. Rather than a "how to" for hands-on techies, this book - now in its revised and updated edition - serves lay listeners and experts alike by covering new case studies and the latest state-of-the-art techniques.

In this rich, fascinating, and surprisingly accessible introduction, 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 behavior - including yours.

Why? Predictive analytics reinvents industries and runs the world. Listen to this book to discover how it combats risk, boosts sales, fortifies health care, optimizes social networks, toughens crime fighting, and wins elections.

©2016 Eric Siegel (P)2015 Eric Siegel

What Members Say

Average Customer Rating

3.9 (167 )
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3.7 (156 )
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  •  
    Bernardo United States 05-09-16
    Bernardo United States 05-09-16 Member Since 2006
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    "Interesting, but..."

    The book is interesting but goes too much into Watson, the IBM computer's performance in Jeopardy, and repeats themes mentioned earlier in the book without anything significant. The reader's performance, though making an effort to be amusing and showing talent, can be annoying!

    3 of 4 people found this review helpful
  •  
    Tom 05-23-16
    Tom 05-23-16 Member Since 2017
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    "Worth listening."

    At first I found the narrator a bit too enthusiastic, but he grew on me. This book was very interesting and told great stories about applications.

    2 of 3 people found this review helpful
  •  
    courtney smith 02-12-16 Member Since 2015
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    "great narration and great content."

    loved the narration. and the content was dense, and informative without being boring. I recommend to anyone who is interested in how data can tell stories and how we can learn from otherwise ignored information.

    5 of 8 people found this review helpful
  •  
    Ishay 06-13-17
    Ishay 06-13-17 Member Since 2017
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    "So low gave me a headache"

    So low gave me a headache, populist, shallow, pompous. I have read a primer before but this was underestimating for a minimal level of reader's intelligence

    0 of 0 people found this review helpful
  •  
    Amazon Customer 05-05-17 Member Since 2017
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    "Entertaining"

    Useful in gaining an understanding of how Predictive Analytics can be applied. Not a guide.

    0 of 0 people found this review helpful
  •  
    Namit Singh NJ 02-06-17
    Namit Singh NJ 02-06-17

    NS

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    "Horrible narration"

    The content is good but repeats quite a bit. The narration is comical and makes it hard to listen.

    1 of 2 people found this review helpful
  •  
    Joe Greenwood 02-03-17
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    "The content is good. Narration horrible"
    What could have made this a 4 or 5-star listening experience for you?

    A different narrator is needed.


    How did the narrator detract from the book?

    While I am sure the guy is trying his best, the voice was so annoying it made me feel repulsed and I had to stop. It has warned me to always try a sample first. Have now bought the paper book instead. Maybe it is my problem, but this style isn't for me at all.


    1 of 2 people found this review helpful
  •  
    Kurt Emery Matson 02-02-17 Member Since 2014
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    "Clear and to the point!"

    This book cuts threw the mumble jumble and gets to the point. It explains how machine learning works in terms you can easily understand - while also giving examples of its application.

    Really cool!

    0 of 0 people found this review helpful
  •  
    Rob 01-20-17
    Rob 01-20-17 Member Since 2016
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    "Annoying use of alliteration"

    Not a very engaging story, extremely distracting and annoying use of alliteration. The reader is not well spoken and his poor use of tonality is often hard to follow.

    0 of 0 people found this review helpful
  •  
    Dr David Urpani 08-22-16
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    "The worst performance I have ever listened to"
    Would you try another book from Eric Siegel and/or Nicolas D. Frantela?

    Frantela is the worst reader I have ever heard on any audible title. He sounds like a cheap circus act, like a cheap vaudeville, without any sense or understanding about what he is reading. I could not get past the first two chapters ... his reading manner is obnoxious and revolting - he does this book, its author,publisher and audible a big dis-service .... never ever will get anything this guy reads ...


    What could Eric Siegel have done to make this a more enjoyable book for you?

    Never allow someone as talentless and bad at conveying the written word as Frantela....


    How did the narrator detract from the book?

    He makes the book sound like a cheap, vaudeville show and yet he does it in a way that shows no understanding of what he is talking about ... raises his voice at the wrong time ... utterly distracting and distasteful.


    What reaction did this book spark in you? Anger, sadness, disappointment?

    Anger and disappointment at having wasted 1 credit on a book that should NEVER have been released with the performance of this Frantela reader ....


    3 of 6 people found this review helpful
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  • Jason Newbatt
    9/22/16
    Overall
    Performance
    Story
    "Good overview but no technical content"

    I wanted to understand how Predictive Analytics are implemented and the techniques that can be used. This book provides a good general overview of Predictive Analytics but seems to dwell onerously on convincing the reader that the subject is worth its weight, and less on practical techniques and processes.

    2 of 3 people found this review helpful

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