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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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    Commentaires - Veuillez sélectionner les onglets ci-dessous pour changer la provenance des commentaires.

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    • Global
      3 out of 5 stars
    • Interprétation
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      3 out of 5 stars
    Image de profile pour Bernardo
    • 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 personnes ont trouvé cela utile

    • Global
      2 out of 5 stars
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      2 out of 5 stars
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    Image de profile pour Chaitanya
    • 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 personne a trouvé cela utile

    • Global
      5 out of 5 stars
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    • 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 personnes ont trouvé cela utile

    • Global
      5 out of 5 stars
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    Image de profile pour Courtney Smith
    • 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 personnes ont trouvé cela utile

    • Global
      4 out of 5 stars
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    • Nichole C. Rip
    • 12/08/2019

    Enjoyable if at least as entertaining stories

    For the most part I enjoyed the stories about different case studies of predictive analytics, which included some of the pitfalls. The narrator was peppy and dramatic which made the stories more riveting. As a budding data scientist, there was enough detail on modeling that gave me more info to research. The only reason I didn't give 5 stars was because I was really in the mood for something a little deeper on the topic, more than just how predictive analytics was applied to certain situations. But this book is still worth a listen to get inspired!

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      4 out of 5 stars
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    • 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
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    Image de profile pour Jacob J. Walker
    • 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
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    • 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
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    • 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

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      5 out of 5 stars
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    • 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

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    • Global
      5 out of 5 stars
    • Interprétation
      4 out of 5 stars
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      5 out of 5 stars
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    • 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 personne a trouvé cela utile