Try an audiobook on us

Predictive Analytics

The Power to Predict Who Will Click, Buy, Lie, or Die
Narrated by: Nicolas D. Frantela
Length: 10 hrs and 7 mins
3.5 out of 5 stars (9 ratings)
Regular price: £23.49
£7.99/month after 30 days. Cancel anytime

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

More from the same

What members say

Average customer ratings

Overall

  • 3.5 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    6
  • 3 Stars
    0
  • 2 Stars
    1
  • 1 Stars
    1

Performance

  • 4 out of 5 stars
  • 5 Stars
    4
  • 4 Stars
    2
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    1

Story

  • 3.5 out of 5 stars
  • 5 Stars
    3
  • 4 Stars
    2
  • 3 Stars
    1
  • 2 Stars
    1
  • 1 Stars
    1
Sort by:
  • Overall
    2 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    2 out of 5 stars

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

Sort by:
  • Overall
    3 out of 5 stars
  • Performance
    3 out of 5 stars
  • Story
    3 out of 5 stars
  • Bernardo
  • 09-05-16

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

  • Overall
    2 out of 5 stars
  • Performance
    2 out of 5 stars
  • Story
    1 out of 5 stars
  • Chaitanya
  • 14-08-17

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

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Tom
  • 23-05-16

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

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    4 out of 5 stars
  • Courtney Smith
  • 12-02-16

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
  • Performance
    2 out of 5 stars
  • Story
    5 out of 5 stars
  • Adam
  • 09-06-18

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.

  • Overall
    5 out of 5 stars
  • Performance
    3 out of 5 stars
  • Story
    4 out of 5 stars
  • Jacob J. Walker
  • 29-03-18

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
  • Dr. Yonathan Mizrachi
  • 27-09-17

Fantastic!!!!

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

  • Overall
    1 out of 5 stars
  • Performance
    1 out of 5 stars
  • Mountainoftruth
  • 18-09-17

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

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Belal Khan
  • 20-07-17

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

  • Overall
    4 out of 5 stars
  • Amazon Customer
  • 05-05-17

Entertaining

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