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Predictive Analytics
- The Power to Predict Who Will Click, Buy, Lie, or Die
- Narrated by: Nicolas D. Frantela
- Length: 10 hrs and 7 mins
- Unabridged Audiobook
- Release date: 12-30-15
- Language: English
- Publisher: Prediction Impact, Inc.
Regular price: $24.95
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Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.
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Oxford professor and author Viktor Mayer-Schönberger joins Economist data editor and commentator Kenneth Cukier to deliver insight into the hottest trend in technology. "Big data" makes it possible to instantly analyze and draw conclusions from vast stores of information, enabling revolutionary breakthroughs in business, health, politics, and education. But big data also raises troubling social and privacy concerns sure to be a major talking point in the years ahead.
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3 out of 5 stars
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Pretty light stuff on Big Data
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- Unabridged
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Overall4 out of 5 stars 26
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Go ahead, be skeptical about big data. The author was - at first. When the term "big data" first came on the scene, best-selling author Tom Davenport ( Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means - and why everyone in business needs to know about it.
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2 out of 5 stars
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Full of fluff, light on the details
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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.
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- Bernardo
- United States
- 05-09-16
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
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Overall2 out of 5 stars
-
Performance2 out of 5 stars
-
Story1 out of 5 stars
- Chaitanya
- 08-14-17
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
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Overall5 out of 5 stars
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Performance5 out of 5 stars
-
Story5 out of 5 stars
- Tom
- 05-23-16
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
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story4 out of 5 stars
- Courtney Smith
- 02-12-16
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
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Overall4 out of 5 stars
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Performance2 out of 5 stars
-
Story5 out of 5 stars
- Adam
- 06-09-18
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.
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Overall5 out of 5 stars
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Performance3 out of 5 stars
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Story4 out of 5 stars
- Jacob J. Walker
- Loomis, CA USA
- 03-29-18
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.
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Overall5 out of 5 stars
- Dr. Yonathan Mizrachi
- 09-27-17
Fantastic!!!!
What a great book. Broad, philosophical and yet practical!! Highly recommended book!!! Great narration.
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Overall1 out of 5 stars
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Performance1 out of 5 stars
- Mountainoftruth
- Calgary
- 09-18-17
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
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Belal Khan
- 07-20-17
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
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Overall1 out of 5 stars
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Performance1 out of 5 stars
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Story1 out of 5 stars
- James M. Burke
- 07-20-17
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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Overall2 out of 5 stars
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Performance5 out of 5 stars
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Story2 out of 5 stars
- 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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Overall1 out of 5 stars
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Performance1 out of 5 stars
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Story3 out of 5 stars
- 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.