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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 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

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Notations

Global

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Histoire

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Il n'y a pas encore de critique disponible pour ce titre.
Trier par :
  • Global
    3 out of 5 stars
  • Performance
    3 out of 5 stars
  • Histoire
    3 out of 5 stars
  • Bernardo
  • 09/05/2016

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!

5 sur 6 personne(s) ont trouvé cet avis utile.

  • Global
    2 out of 5 stars
  • Performance
    2 out of 5 stars
  • Histoire
    1 out of 5 stars
  • Chaitanya
  • 14/08/2017

Not a great book

This book wasn’t for you, but who do you think might enjoy it more?

I don't know who would enjoy the book.It only talks about concepts nothing concrete.

1 sur 1 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Histoire
    5 out of 5 stars
  • Tom
  • 23/05/2016

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.

3 sur 4 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Histoire
    4 out of 5 stars
  • Courtney Smith
  • 12/02/2016

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 sur 9 personne(s) ont trouvé cet avis utile.

  • Global
    4 out of 5 stars
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    2 out of 5 stars
  • Histoire
    5 out of 5 stars
  • Adam
  • 09/06/2018

Great book, weird reading

The narrator would constantly use weird voices, silly sound effects, or other ear too artsy things that were more annoying than clever.

  • Global
    5 out of 5 stars
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    3 out of 5 stars
  • Histoire
    4 out of 5 stars
  • Jacob J. Walker
  • 29/03/2018

A Great Intro to Machine Learning

Would you recommend this audiobook to a friend? If so, why?

I would recommend this audiobook to anyone who is interested in becoming a data scientist, analyst, or for anyone who wants to know more about machine learning, predictive analytics, and the basis for artificial intelligence (AI)

What was one of the most memorable moments of Predictive Analytics?

Every section was very clear.

Would you listen to another book narrated by Nicolas D. Frantela?

The narration was a bit too over the top for me.

Was this a book you wanted to listen to all in one sitting?

No. Like most non-fiction it is good to get in bite size chunks, and to repeat as needed.

Any additional comments?

This is the best introduction that I have found to get a good conceptual understanding of machine learning and predictive analytics.

  • Global
    5 out of 5 stars
  • Dr. Yonathan Mizrachi
  • 27/09/2017

Fantastic!!!!

What a great book. Broad, philosophical and yet practical!! Highly recommended book!!! Great narration.

  • Global
    1 out of 5 stars
  • Performance
    1 out of 5 stars
  • Mountainoftruth
  • 18/09/2017

Really annoying reader for lousy book.

If you can make it through 4 chapters of telling you about how this is the most amazing thing you will ever hear then you get to listen to the worst announcer on the planet

  • Global
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Histoire
    5 out of 5 stars
  • Belal Khan
  • 20/07/2017

excellent primer into data analytics

this is an excellent primer into data analytics, especially for someone in the field of marketing and has a bias towards data

  • Global
    1 out of 5 stars
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    1 out of 5 stars
  • Histoire
    1 out of 5 stars
  • James M. Burke
  • 20/07/2017

Way too wordie and rambling

This book would have been much better if the author was able to stick to a thread of thought and did not ramble on. I would have paid double if he got it done in 4 chapters

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  • Global
    5 out of 5 stars
  • Performance
    4 out of 5 stars
  • Histoire
    5 out of 5 stars
  • Lennart
  • 10/12/2016

Super Werk auch als Einstieg in das Thema

Spannend erzählt, mit unzähligen sehr interessanten Praxisbeispielen.

Meines Erachtens hat das Buch genau die richtige Mischung aus breitem vermitteltem Inhalt und Tiefgang.

Daher gebe ich fast in allen Bereichen volle Punktzahl.

1 sur 1 personne(s) ont trouvé cet avis utile.