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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

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What members say

Average Customer Ratings

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  • Overall
    3 out of 5 stars
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    3 out of 5 stars
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    3 out of 5 stars

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 of 6 people found this review helpful

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    2 out of 5 stars
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    2 out of 5 stars
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    1 out of 5 stars

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 of 1 people found this review helpful

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    5 out of 5 stars
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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.

3 of 4 people found this review helpful

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    5 out of 5 stars
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    5 out of 5 stars
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    4 out of 5 stars

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 9 people found this review helpful

  • Overall
    4 out of 5 stars
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    2 out of 5 stars
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    5 out of 5 stars

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.

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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.

  • Overall
    5 out of 5 stars

Fantastic!!!!

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

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    1 out of 5 stars
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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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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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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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  • Jason Newbatt
  • 09-22-16

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.

5 of 6 people found this review helpful

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  • david
  • 11-02-17

Childish, terribly immature performance

I will try and return the audio book because I cannot bring myself to switch it back on to listen to the immature narration one more time, as it was meant to be recorded for preschoolers and performed on stage. I have had listened to plenty of audio books from literature to non-fiction but have never encountered anything like this before, I am totally flabbergasted.