Predictive Analytics
The Power to Predict Who Will Click, Buy, Lie, or Die
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Narrado por:
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Nicolas D. Frantela
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De:
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Eric Siegel
Acerca de esta escucha
"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 SiegelLos oyentes también disfrutaron...
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Companies are collecting more data from ever. With the ease of collecting all that data, all the different sources where you can receive the data, and the inexpensive storage, it makes sense to collect as much data as possible. But without a good analysis of that data, and without some time to really figure out what trends and insights are inside all of it, that data becomes worthless. This is where predictive analytics is going to come in handy.
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Why is Red Bull so popular, though everyone—everyone!—hates the taste? Humans are, in a word, irrational, basing decisions as much on subtle external signals (that little blue can) as on objective qualities (flavor, price, quality). The surrounding world, meanwhile, is irreducibly complex and random. This means future success can’t be projected on any accounting spreadsheet. To strike gold, you must master the dark art and curious science of conjuring irresistible ideas: alchemy.
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Selected by the Modern Library as one of the 100 best nonfiction books of all time. Described by the Chicago Tribune as "a classic", The Rise of Theodore Roosevelt stands as one of the greatest biographies of our time. The publication of The Rise of Theodore Roosevelt on September 14th, 2001 marks the 100th anniversary of Theodore Roosevelt becoming president.
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3 out of 5 stars
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You need to listen with the pdf documents
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Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence - and even more so if we hope to participate in the future, rather than being simple bystanders.
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4 out of 5 stars
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very good statistics overview
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As Nobel Prize-winning economist Ronald Coase once cynically observed, "If you torture data long enough, it will confess." Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing.
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5 out of 5 stars
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Now, I can't talk to people.....
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Lo que los oyentes dicen sobre Predictive Analytics
Con calificación alta para:
Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Total3 out of 5 stars
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Ejecución3 out of 5 stars
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Historia3 out of 5 stars
- Bernardo
- 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!
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esto le resultó útil a 5 personas
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia5 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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Total5 out of 5 stars
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Ejecución3 out of 5 stars
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Historia4 out of 5 stars
- Jacob J. Walker
- 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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Total5 out of 5 stars
- Prof. Yonathan Mizrachi
- 09-27-17
Fantastic!!!!
What a great book. Broad, philosophical and yet practical!! Highly recommended book!!! Great narration.
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Total4 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.
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Total4 out of 5 stars
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Ejecución4 out of 5 stars
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Historia4 out of 5 stars
- Kurt Emery Matson
- 02-02-17
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!
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia5 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.
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esto le resultó útil a 3 personas
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Total3 out of 5 stars
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Ejecución2 out of 5 stars
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Historia2 out of 5 stars
- Ed
- 08-09-16
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.
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esto le resultó útil a 1 persona
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Total4 out of 5 stars
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Ejecución2 out of 5 stars
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Historia5 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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Total4 out of 5 stars
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Ejecución5 out of 5 stars
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Historia4 out of 5 stars
- Nichole C. Rip
- 08-12-19
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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