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Predictive Analytics
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From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
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2 out of 5 stars
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It would deserve an A (if it was a school paper)
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Predictive Marketing
- Easy Ways Every Marketer Can Use Customer Analytics and Big Data
- By: Omer Artun, Dominique Levin PhD
- Narrated by: Tim Andres Pabon
- Length: 8 hrs and 44 mins
- Unabridged
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Overall4.5 out of 5 stars 14
-
Performance4.5 out of 5 stars 13
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Story4.5 out of 5 stars 13
Predictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences.
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4 out of 5 stars
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Nice overall package
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The Signal and the Noise
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- Narrated by: Mike Chamberlain
- Length: 15 hrs and 43 mins
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Overall4.5 out of 5 stars 3,783
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Performance4.5 out of 5 stars 3,242
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Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger - all by the time he was 30. The New York Times now publishes FiveThirtyEight.com, where Silver is one of the nation’s most influential political forecasters. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data.
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Performance4 out of 5 stars 225
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Thinking Statistically is the book that shows you how to think like a statistician, without worrying about formal statistical techniques. Along the way we learn how selection bias can explain why your boss doesn't know he sucks (even when everyone else does); how to use Bayes' theorem to decide if your partner is cheating on you; and why Mark Zuckerberg should never be used as an example for anything.
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Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.
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4 out of 5 stars
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Very insightful and actionable
- By Amazon Customer on 04-27-18
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Standard Deviations
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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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Good read for all empiricist
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Keeping Up with the Quants
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Performance4 out of 5 stars 92
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Welcome to the age of data. No matter your interests (sports, movies, politics), your industry (finance, marketing, technology, manufacturing), or the type of organization you work for (big company, nonprofit, small start-up) - your world is awash with data. As a successful manager today, you must be able to make sense of all this information. You need to be conversant with analytical terminology and methods and able to work with quantitative information. This audiobook promises to become your "quantitative literacy" guide.
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2 out of 5 stars
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Not enough takeaways for the price of the book
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Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week's meals. Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts' predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight.
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Great for Experts
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It has become a universal truth that businesses are full of data. It can easily be seen that the value of big data lies in the analysis and processing of that data, and that’s where data science comes in. Data scientists are changing the way big data is used in different institutions. Big data is everywhere, but without the right person to interpret it, it means nothing. The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow.
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3 out of 5 stars
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Not what I was expecting
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Overall4.5 out of 5 stars 167
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Performance4.5 out of 5 stars 164
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Data Analytics is a 7-book bundle, including topics like: Data Analytics for Beginners; Deep Learning with Keras; Analyzing Data with Power BI; and Reinforcement Learning, Artificial Intelligence, Text Analytics, and Convolutional Neural Networks with Python. You will start by putting data analytics to work, learning about the rise of data analytics and building the fundamentals to master algorithms and processes using Python.
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1 out of 5 stars
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Can't get pass narrator's annoying robot speak!
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Predictive Analytics
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- Unabridged
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Overall4 out of 5 stars 61
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Performance4.5 out of 5 stars 58
-
Story4 out of 5 stars 57
An introduction for everyone. In this rich, fascinating—surprisingly accessible—introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book serves lay listeners and experts alike by covering new case studies and the latest state-of-the-art techniques.
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What Every Manager Should Know About Big Data and Data Science
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- Unabridged
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Overall4 out of 5 stars 30
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Performance4 out of 5 stars 28
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Story4 out of 5 stars 28
The need for precise, actionable, real-time Business Intelligence (BI) lies at the heart of the role of Big Data in modern commerce. In turn, the art of Data Science lies at the nexus of Big Data and BI, providing the essential methods by which BI can be extracted from Big Data's great black mass of constantly flowing, unstructured information. This combination has a created a new profession: an elite and specialized class of highly-compensated professionals specially skilled at data cleaning, analysis, and visualization.
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5 out of 5 stars
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Vital information clearly explained
- By Edward Renehan on 05-18-16
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Prediction Machines
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Overall4.5 out of 5 stars 480
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Performance4.5 out of 5 stars 421
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Story4.5 out of 5 stars 422
Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
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3 out of 5 stars
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Not sure what I was expecting, but underwhelmed
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Data Analytics and Python Programming: 2 Bundle Manuscript
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- Narrated by: Kevin Theis
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Overall3.5 out of 5 stars 15
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Performance3.5 out of 5 stars 15
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Story3 out of 5 stars 15
This is a two book bundle related to data analytics and learning Python programming from scratch!
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5 out of 5 stars
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Reference to learn and be proficient in data analytics
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Big Data in Practice
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- By: Bernard Marr
- Narrated by: Piers Hampton
- Length: 7 hrs and 25 mins
- Unabridged
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Overall4 out of 5 stars 37
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Performance4 out of 5 stars 33
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Story3.5 out of 5 stars 30
The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.
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2 out of 5 stars
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Good book for managers
- By Scott W. Peabody on 01-08-18
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Big Data at Work
- Dispelling the Myths, Uncovering the Opportunities
- By: Thomas H. Davenport
- Narrated by: Joe Barrett
- Length: 6 hrs and 3 mins
- Unabridged
-
Overall4 out of 5 stars 28
-
Performance3.5 out of 5 stars 26
-
Story3.5 out of 5 stars 25
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
-
Full of fluff, light on the details
- By Nikhil on 05-17-18
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
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Performance2 out of 5 stars
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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
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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
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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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Overall4 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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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.