Big Data (Over 42,000 results)

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Paperback. Condition: Very Good. Be part of the big learning data revolution.

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Hardback. Condition: Good. Explore why ? now more than ever ? the world is in a race to become data-driven, and how you can learn from examples of data-driven leadership in an Age of Disruption, Big Data, and AI In Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, Fortune 1000 strategic advisor, noted author, and distinguished thought leader Randy Bean tells the story of the rise of Big Data and its business impact ? its disruptive power, the cultural challenges to becoming data-driven, the importance of data ethics, and the future of data-driven AI. The book looks at the impact of Big Data during a period of explosive information growth, technology advancement, emergence of the Internet and social media, and challenges to accepted notions of data, science, and facts, and asks what it means to become "data-driven." Fail Fast, Learn Faster includes discussions of: The emergence of Big Data and why organizations must become data-driven to surviveWhy becoming data-driven forces companies to "think different" about their businessThe state of data in the corporate world today, and the principal challengesWhy companies must develop a true "data culture" if they expect to changeExamples of companies that are demonstrating data-driven leadership and what we can learn from themWhy companies must learn to "fail fast and learn faster" to compete in the years aheadHow the Chief Data Officer has been established as a new corporate profession Written for CEOs and Corporate Board Directors, data professional and practitioners at all organizational levels, university executive programs and students entering the data profession, and general readers seeking to understand the Information Age and why data, science, and facts matter in the world in which we live, Fail Fast, Learn Faster p;is essential reading that delivers an urgent message for the business leaders of today and of the future. …

Paperback. Condition: Very Good. Learn how to profit from an effective data strategy in a world of big data, analytics and the Internet of Things.

Paperback. Condition: Good. Learn how to profit from an effective data strategy in a world of big data, analytics and the Internet of Things.

Hardback. Condition: Very Good. Digital data collection and surveillance gets more pervasive and invasive by the day; but the best ways to protect yourself and your data are all steps you can take yourself. The devices we use to get just-in-time coupons, directions when we re lost, and maintain connections with loved ones no matter how far away they are, also invade our privacy in ways we might not even be aware of. Our devices send and collect data about us whenever we use them, but that data is not safeguarded the way we assume it would be. Privacy is complex and personal. Many of us do not know the full extent to which data is collected, stored, aggregated, and used. As recent revelations indicate, we are subject to a level of data collection and surveillance never before imaginable. While some of these methods may, in fact, protect us and provide us with information and services we deem to be helpful and desired, others can turn out to be insidious and over-arching. Privacy in the Age of Big Data highlights the many positive outcomes of digital surveillance and data collection while also outlining those forms of data collection to which we may not consent, and of which we are likely unaware. Payton and Claypoole skillfully introduce readers to the many ways we are watched, and how to adjust our behaviors and activities to recapture our privacy. The authors suggest the tools, behavior changes, and political actions we can take to regain data and identity security. Anyone who uses digital devices will want to read this book for its clear and no-nonsense approach to the world of big data and what it means for all of us.…

Hardback. Condition: Very Good. Explore why ? now more than ever ? the world is in a race to become data-driven, and how you can learn from examples of data-driven leadership in an Age of Disruption, Big Data, and AI In Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, Fortune 1000 strategic advisor, noted author, and distinguished thought leader Randy Bean tells the story of the rise of Big Data and its business impact ? its disruptive power, the cultural challenges to becoming data-driven, the importance of data ethics, and the future of data-driven AI. The book looks at the impact of Big Data during a period of explosive information growth, technology advancement, emergence of the Internet and social media, and challenges to accepted notions of data, science, and facts, and asks what it means to become "data-driven." Fail Fast, Learn Faster includes discussions of: The emergence of Big Data and why organizations must become data-driven to surviveWhy becoming data-driven forces companies to "think different" about their businessThe state of data in the corporate world today, and the principal challengesWhy companies must develop a true "data culture" if they expect to changeExamples of companies that are demonstrating data-driven leadership and what we can learn from themWhy companies must learn to "fail fast and learn faster" to compete in the years aheadHow the Chief Data Officer has been established as a new corporate profession Written for CEOs and Corporate Board Directors, data professional and practitioners at all organizational levels, university executive programs and students entering the data profession, and general readers seeking to understand the Information Age and why data, science, and facts matter in the world in which we live, Fail Fast, Learn Faster p;is essential reading that delivers an urgent message for the business leaders of today and of the future.…

Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Condition: Good. NEW YORK TIMES BESTSELLER * A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric--with a new afterword   "A manual for the twenty-first-century citizen . . . relevant and urgent."--Financial Times   NATIONAL BOOK AWARD LONGLIST * NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review * The Boston Globe * Wired * Fortune * Kirkus Reviews * The Guardian * Nature * On Point   We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.   But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data.…

Paperback. Condition: Very Good. NEW YORK TIMES BESTSELLER * A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric--with a new afterword   "A manual for the twenty-first-century citizen . . . relevant and urgent."--Financial Times   NATIONAL BOOK AWARD LONGLIST * NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review * The Boston Globe * Wired * Fortune * Kirkus Reviews * The Guardian * Nature * On Point   We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.   But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data.…

Paperback. Condition: Good. When data from all aspects of our lives can be relevant to our health - from our habits at the grocery store and our Google searches to our FitBit data and our medical records - can we really differentiate between big data and health big data? Will health big data be used for good, such as to improve drug safety, or ill, as in insurance discrimination? Will it disrupt health care (and the health care system) as we know it? Will it be possible to protect our health privacy? What barriers will there be to collecting and utilizing health big data? What role should law play, and what ethical concerns may arise? This timely, groundbreaking volume explores these questions and more from a variety of perspectives, examining how law promotes or discourages the use of big data in the health care sphere, and also what we can learn from other sectors.…

Paperback. Condition: Good. Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets.

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Hardback. Condition: Good. A FINANCIAL TIMES BOOK OF THE MONTH FROM THE WALL STREET JOURNAL: "Nothing Mr. Gilder says or writes is ever delivered at anything less than the fullest philosophical decibel. Mr. Gilder sounds less like a tech guru than a poet, and his words tumble out in a romantic cascade." ?Google?s algorithms assume the world?s future is nothing more than the next moment in a random process. George Gilder shows how deep this assumption goes, what motivates people to make it, and why it?s wrong: the future depends on human action.? ? Peter Thiel, founder of PayPal and Palantir Technologies and author of Zero to One: Notes on Startups, or How to Build the Future The Age of Google, built on big data and machine intelligence, has been an awesome era. But it?s coming to an end. In Life after Google, George Gilder?the peerless visionary of technology and culture?explains why Silicon Valley is suffering a nervous breakdown and what to expect as the post-Google age dawns. Google?s astonishing ability to ?search and sort? attracts the entire world to its search engine and countless other goodies?videos, maps, email, calendars.And everything it offers is free, or so it seems. Instead of paying directly, users submit to advertising. The system of ?aggregate and advertise? works?for a while?if you control an empire of data centers, but a market without prices strangles entrepreneurship and turns the Internet into a wasteland of ads. The crisis is not just economic. Even as advances in artificial intelligence induce delusions of omnipotence and transcendence, Silicon Valley has pretty much given up on security. The Internet firewalls supposedly protecting all those passwords and personal information have proved hopelessly permeable. The crisis cannot be solved within the current computer and network architecture. The future lies with the ?cryptocosm??the new architecture of the blockchain and its derivatives. Enabling cryptocurrencies such as bitcoin and ether, NEO and Hashgraph, it will provide the Internet a secure global payments system, ending the aggregate-and-advertise Age of Google. Silicon Valley, long dominated by a few giants, faces a ?great unbundling,? which will disperse computer power and commerce and transform the economy and the Internet. Life after Google is almost here.   For fans of "Wealth and Poverty," "Knowledge and Power," and "The Scandal of Money.".…

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Hardcover. Condition: Very Good.

Paperback. Condition: Good. Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design. Dixon, Keetra Dean (illustrator).

hardcover. Condition: Fair.

Condition: good. Books may contain some notes and highlighting. Supplements such as Access Codes, Cd's Dust Jackets, etc. are not guaranteed with used book purchases.

Paperback. Condition: Good. Offers a new approach to managing data Comprehensive coverage on building Big Data systems Works an example Big Data system to illustrate key concepts.

Condition: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly. …

Hardcover. Condition: Very Good.

Condition: like_new. Book is in like new condition with only potential shelf wear. No marking or highlighting.

Condition: very_good. Cover may have light wear, pages in very good condition and binding is sturdy; may have other light shelf wear or creases. May have notes or highlighting.

Hardback. Condition: Good. One of the most exciting developments from the world of ideas in decades, presented with panache by two frighteningly brilliant, endearingly unpretentious, and endlessly creative young scientists. - Steven Pinker, author of The Better Angels of Our Nature Our society has gone from writing snippets of information by hand to generating a vast flood of 1s and 0s that record almost every aspect of our lives: who we know, what we do, where we go, what we buy, and who we love. This year, the world will generate 5 zettabytes of data. (That's a five with twenty-one zeros after it.) Big data is revolutionizing the sciences, transforming the humanities, and renegotiating the boundary between industry and the ivory tower. What is emerging is a new way of understanding our world, our past, and possibly, our future. In Uncharted, Erez Aiden and Jean-Baptiste Michel tell the story of how they tapped into this sea of information to create a new kind of telescope: a tool that, instead of uncovering the motions of distant stars, charts trends in human history across the centuries. By teaming up with Google, they were able to analyze the text of millions of books. The result was a new field of research and a scientific tool, the Google Ngram Viewer, so groundbreaking that its public release made the front page of The New York Times, The Wall Street Journal, and The Boston Globe, and so addictive that Mother Jones called it the greatest timewaster in the history of the internet. Using this scope, Aiden and Michel--and millions of users worldwide--are beginning to see answers to a dizzying array of once intractable questions. How quickly does technology spread? Do we talk less about God today? When did people start having sex instead of making love? At what age do the most famous people become famous? How fast does grammar change? Which writers had their works most effectively censored by the Nazis? When did the spelling donut start replacing the venerable doughnut? Can we predict the future of human history? Who is better known--Bill Clinton or the rutabaga? All over the world, new scopes are popping up, using big data to quantify the human experience at the grandest scales possible. Yet dangers lurk in this ocean of 1s and 0s--threats to privacy and the specter of ubiquitous government surveillance. Aiden and Michel take readers on a voyage through these uncharted waters.…

Hardback. Condition: Very Good. One of the most exciting developments from the world of ideas in decades, presented with panache by two frighteningly brilliant, endearingly unpretentious, and endlessly creative young scientists. - Steven Pinker, author of The Better Angels of Our Nature Our society has gone from writing snippets of information by hand to generating a vast flood of 1s and 0s that record almost every aspect of our lives: who we know, what we do, where we go, what we buy, and who we love. This year, the world will generate 5 zettabytes of data. (That's a five with twenty-one zeros after it.) Big data is revolutionizing the sciences, transforming the humanities, and renegotiating the boundary between industry and the ivory tower. What is emerging is a new way of understanding our world, our past, and possibly, our future. In Uncharted, Erez Aiden and Jean-Baptiste Michel tell the story of how they tapped into this sea of information to create a new kind of telescope: a tool that, instead of uncovering the motions of distant stars, charts trends in human history across the centuries. By teaming up with Google, they were able to analyze the text of millions of books. The result was a new field of research and a scientific tool, the Google Ngram Viewer, so groundbreaking that its public release made the front page of The New York Times, The Wall Street Journal, and The Boston Globe, and so addictive that Mother Jones called it the greatest timewaster in the history of the internet. Using this scope, Aiden and Michel--and millions of users worldwide--are beginning to see answers to a dizzying array of once intractable questions. How quickly does technology spread? Do we talk less about God today? When did people start having sex instead of making love? At what age do the most famous people become famous? How fast does grammar change? Which writers had their works most effectively censored by the Nazis? When did the spelling donut start replacing the venerable doughnut? Can we predict the future of human history? Who is better known--Bill Clinton or the rutabaga? All over the world, new scopes are popping up, using big data to quantify the human experience at the grandest scales possible. Yet dangers lurk in this ocean of 1s and 0s--threats to privacy and the specter of ubiquitous government surveillance. Aiden and Michel take readers on a voyage through these uncharted waters.…