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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
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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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Artificial intelligence is changing our world faster than we can imagine, and it will impact every area of our lives. And this is happening whether we like it or not. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.
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Completely useless
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Disappointing analysis of future
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Assumes that machine learning will grow very slow
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Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
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A golf course book
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Now in the top 3 best books I've ever read
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The lean entrepreneurship movement has captivated Silicon Valley and entrepreneurs across the country. It provided an agile framework to develop the right product solution for a given target market and is now used by almost every fledgling company to do just that. The next challenge is growth - to achieve the financial returns and, more importantly, the impact they dreamed of when starting off on their adventure.
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Just general advice on how to survive
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AI Superpowers
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In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.
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Compelled to listen at 2x speed
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When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.
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I Hope It's Not All True
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What listeners say about Predictive Analytics
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- 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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- 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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- 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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Overall
- 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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Overall
- 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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- 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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- 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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3 people found this helpful
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- 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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1 person found this helpful
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- 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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- 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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