Data Science

Gildan Media

Narrated by Chris Sorensen

5 hr 51 min
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It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.
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Additional Information

Publisher
Gildan Media
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Published on
Apr 13, 2018
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Duration
5h 51m 0s
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ISBN
9781469096766
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Language
English
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Genres
Computers / Data Processing
Computers / Databases / Data Mining
Computers / Databases / General
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Eligible for Family Library

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Foreword by Steven Pinker

Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.

By the end of on average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable.

Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women?

Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.

List the hottest buzzwords in business today and "analytics" is bound to come out near the top. But to most people, analytics implies complex tools and technical experts manipulating massive amounts and varieties of information (i.e.,"Big Data"). But complex Big Data analytics isn't the only game in town. And many people don't realize that a business doesn't need data scientists and complex tools to derive useful information and valuable benefits from any amount of raw data (e.g., names, behaviors, zip codes, demographics, sales statistics, etc.). Now Piyanka Jain and Puneet Sharma have defeated the myth that analytics is "rocket science"--and that only Big Data matters. In Behind Every Good Decision, they demonstrate how you can leverage the data you've got to generate valuable insights and drive countless smart business decisions. Best of all, the techniques for solving 80 percent of all business problems can be solved by any professional using only a Microsoft Excel spreadsheet!--and the authors show you how. Among the fascinating things you'll learn and apply from this engaging, easy-to-understand book are: * How to use a unique, remarkably effective, streamlined method called "BADIR" for short, that works in any industry and will help you move from data to decisions in just five steps * How this tool can help you improve customer experiences, optimize your work flow, predict the rate of customer churn, and determine which among several business propositions should be the focus of your attention * The four most commonly used analytics methodologies * Tools you can use for storing, reporting, and analyzing data * The kinds of people who should be chosen for an analytics team With this book, you'll see that business analytics is a simple problem-solving tool. Done right, your analytics effort can make for happier customers, better products, agile business practices, more productive employees, bigger revenues, and fatter profits--not to mention delighted bosses. And with the help of Behind Every Good Decision, you'll be able to launch that effort right from your own laptop. It's time to see how.
The Internet and smartphone are just the latest in a 250-year-long cycle of disruption that has continuously changed the way we live, the way we work, and the way we interact. The coming Augmented Age, however, promises a level of disruption, behavioral shifts, and changes that are unparalleled. While consumers today are camping outside of an Apple store waiting to be one of the first to score a new Apple Watch or iPhone, the next generation of wearables will be able to predict if we're likely to have a heart attack and recommend a course of action. We watch news of Google's self-driving cars, but don't likely realize this means progressive cities will have to ban human drives in the next decade because us humans are too risky. Following on from the Industrial or Machine Age, the Space Age and the Digital Age, the Augmented Age will be based on four key disruptive themes-Artificial Intelligence, Experience Design, Smart Infrastructure, and HealthTech. Historically the previous "ages" bought significant disruption and changes, but on a net basis jobs were created, wealth was enhanced, and the health and security of society improved. What will the Augmented Age bring? Will robots take our jobs, and AI's subsume us as inferior intelligences, or will this usher in a new age of abundance? Augmented is a book on future history, but more than that, it is a story about how you will live your life in a world that will change more in the next twenty years than it has in the last 250 years. Are you ready to adapt? Because if history proves anything, you don't have much of a choice.
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