"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
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!
It is a shame that this book was narrated in such a way. The narrator continuously uses different voices, accents and attempts at comedic tones and playing various "characters" that makes it nearly unlistenable. The content of the book is good but the narrator makes it all about himself and his "performance" which is annoying. I would recommend reading this rather than listening to it.
Make it abridged, have another performer. Frantela is unbearable.
His lame attempt to mimic the authors delivery style.
cut it to one third of what it is today.
Yea; tell Frantela not to EVER try to mimic the author.
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.
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.
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 ...
Never allow someone as talentless and bad at conveying the written word as Frantela....
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.
Anger and disappointment at having wasted 1 credit on a book that should NEVER have been released with the performance of this Frantela reader ....
I love audible books , but this one is basically the author sending you to his website for more info . There is nothing indicating how he gets the results
I bought the book to get some knowledge that can add value to my profession. The narration was too fast even in 1x speed that I couldn't even focus after few seconds. Also IMHO there is no need for dramatic narration for Buisness / technology book with raising the voice and lowering it quite often. I would not listen to this book one more time because of poor narration.
At times, the topics were interesting. But, I could not get past the narration - pretty bad!
It did not.just the author and narrator.
Not a chance.
Do not recommend this book at all.
"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.
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