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The MIT Press Essential Knowledge Series
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Narrado por:
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Steven Menasche
Acerca de esta escucha
When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was "only" collecting metadata about phone calls - information about the caller, the recipient, the time, the duration, the location - and not recordings of the conversations themselves? Or does phone call metadata reveal more than it seems?
In this audiobook, Jeffrey Pomerantz offers an accessible and concise introduction to metadata. In the era of ubiquitous computing, metadata has become infrastructural, like the electrical grid or the highway system. We interact with it or generate it every day. It is not, Pomerantz tell us, just "data about data". It is a means by which the complexity of an object is represented in a simpler form. For example, the title, the author, and the cover art are metadata about a book. When metadata does its job well, it fades into the background; everyone (except perhaps the NSA) takes it for granted.
Pomerantz explains what metadata is and why it exists. He distinguishes among different types of metadata - descriptive, administrative, structural, preservation, and use - and examines different users and uses of each type. He discusses the technologies that make modern metadata possible, and he speculates about metadata's future. By the end of the book, listeners will see metadata everywhere. Because, Pomerantz warns us, it's metadata's world, and we are just living in it.
PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.
©2015 Massachusetts Institute of Technology (P)2015 Gildan Media LLCLos oyentes también disfrutaron...
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Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.
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When someone is labeled a nihilist, it's not usually meant as a compliment. Most of us associate nihilism with destructiveness and violence. Nihilism means, literally, "an ideology of nothing". Is nihilism, then, believing in nothing? If we can learn to recognize the many varieties of nihilism, Nolen Gertz writes, then we can learnto distinguish what is meaningful from what is meaningless. In this addition to the MIT Press Essential Knowledge series, Gertz traces the history of nihilism in Western philosophy from Socrates through Hannah Arendt and Jean-Paul Sartre.
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The Age of Surveillance Capitalism is neither a hand-wringing narrative of danger and decline nor a digital fairy tale. Rather, it offers a deeply reasoned and evocative examination of the contests over the next chapter of capitalism that will decide the meaning of information civilization in the 21st century. The stark issue at hand is whether we will be the masters of information and machines or its slaves.
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Our beliefs constitute a large part of our knowledge of the world. We have beliefs about objects, about culture, about the past, and about the future. We have beliefs about other people, and we believe that they have beliefs as well. We use beliefs to predict, to explain, to create, to console, to entertain. Some of our beliefs we call theories, and we are extraordinarily creative at constructing them. Theories of quantum mechanics, evolution, and relativity are examples.
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Run a Google search for “black girls” - what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls”, the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.
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Read this book. Tell everyone you know about it.
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Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
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As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.
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Wonderful audio textbook!
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This award-winning and best-selling business handbook for digital transformation is now fully updated and expanded with the latest research and new case studies! Over the last five years, The DevOps Handbook has been the definitive guide for taking the successes laid out in the best-selling The Phoenix Project and applying them in any organization. Now, with this fully updated and expanded edition, it’s time to take DevOps out of the IT department and apply it across the full business.
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Robots are entering the mainstream. Technologies have advanced to the point of mass commercialization - Roomba, for example - and adoption by governments - most notably, their use of drones. Meanwhile, these devices are being received by a public whose main sources of information about robots are the fantasies of popular culture. We know a lot about C-3PO and Robocop, but not much about Atlas, Motoman, Kiva, or Beam - real-life robots that are reinventing warfare, the industrial workplace, and collaboration.
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People keep track. In the 18th century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This audiobook examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become parts of.
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Data Science
- De: John D. Kelleher, Brendan Tierney
- Narrado por: Chris Sorensen
- Duración: 5 h y 51 m
- Versión completa
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General4 out of 5 stars 90
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Narración:4 out of 5 stars 80
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Historia4.5 out of 5 stars 80
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.
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3 out of 5 stars
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performance is borderline unlistenable
- De jlouviere en 01-14-19
De: John D. Kelleher, y otros
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Robots
- The MIT Press Essential Knowledge series
- De: John M. Jordan
- Narrado por: Walter Dixon
- Duración: 5 h y 11 m
- Versión completa
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General4 out of 5 stars 20
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Narración:4 out of 5 stars 18
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Historia3.5 out of 5 stars 18
Robots are entering the mainstream. Technologies have advanced to the point of mass commercialization - Roomba, for example - and adoption by governments - most notably, their use of drones. Meanwhile, these devices are being received by a public whose main sources of information about robots are the fantasies of popular culture. We know a lot about C-3PO and Robocop, but not much about Atlas, Motoman, Kiva, or Beam - real-life robots that are reinventing warfare, the industrial workplace, and collaboration.
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4 out of 5 stars
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A broad description of the state of the art
- De Gonzalo Alberto Gomez A en 01-05-18
De: John M. Jordan
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Self-Tracking
- The MIT Press Essential Knowledge Series
- De: Gina Neff, Dawn Nafus
- Narrado por: Karen Saltus
- Duración: 4 h y 36 m
- Versión completa
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General4 out of 5 stars 17
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Narración:4 out of 5 stars 16
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Historia3.5 out of 5 stars 16
People keep track. In the 18th century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This audiobook examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become parts of.
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1 out of 5 stars
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Entirely academic and not what I expected
- De Zubair en 04-30-18
De: Gina Neff, y otros
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Computational Thinking
- De: Peter J. Denning, Matti Tedre
- Narrado por: Steven Jay Cohen
- Duración: 5 h y 56 m
- Versión completa
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General4 out of 5 stars 50
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Narración:4 out of 5 stars 42
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Historia4 out of 5 stars 42
A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, "computational thinking" has become part of the K-12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview.
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2 out of 5 stars
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Too slow, repetitive for professional programmers
- De Kindle Customer en 04-06-21
De: Peter J. Denning, y otros
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