Predictive Analytics

The Power to Predict Who Will Click, Buy, Lie, or Die

By: Eric Siegel

Narrated by: Nicolas D. Frantela

Length: 10 hrs and 7 mins

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

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!

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

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.

Fantastic!!!!

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

Entertaining

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

Clear and to the point!

This book cuts threw the mumble jumble and gets to the point. It explains how machine learning works in terms you can easily understand - while also giving examples of its application.

Really cool!

Tried to stay with this

Is there anything you would change about this book?

At times, the topics were interesting. But, I could not get past the narration - pretty bad!

Has Predictive Analytics turned you off from other books in this genre?

It did not.just the author and narrator.

Who would you have cast as narrator instead of Nicolas D. Frantela?

Not a chance.

Do you think Predictive Analytics needs a follow-up book? Why or why not?

No.

Any additional comments?

Do not recommend this book at all.

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.

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!

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.