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Data Science
- Narrado por: Chris Sorensen
- Duración: 5 h y 51 m
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Resumen del Editor
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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Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture.
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Content marketing
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T-Minus AI
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In T-Minus AI: Humanity's Countdown to Artificial Intelligence and the New Pursuit of Global Power, author Michael Kanaan explains the realities of AI from a human-oriented perspective that's easy to comprehend. A recognized national expert and the U.S. Air Force's first Chairperson for Artificial Intelligence, Kanaan weaves a compelling new view on our history of innovation and technology to masterfully explain what each of us should know about modern computing, AI, and machine learning.
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Trivial Book Regarding AI
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The Amazon Way on IoT
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The Amazon Way on IoT is for the leader who wants to understand how the Internet of things is transforming business and society. Listeners will discover business cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach through understanding Amazon's and other leading companies sophisticated IoT technologies and strategies.
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Very insightful, but quite boring
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The Fourth Industrial Revolution
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World-renowned economist Klaus Schwab, founder and executive chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work.
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Friendly reminding : On August 15th, 1971, the dec
- De steve white en 03-24-21
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Critical thinking is regularly cited as an essential 21st century skill, the key to success in school and work. Given our propensity to believe fake news, draw incorrect conclusions, and make decisions based on emotion rather than reason, it might even be said that critical thinking is vital to the survival of a democratic society. But what, exactly, is critical thinking? Haber describes the term's origins in such disciplines as philosophy, psychology, and science.
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I decided not to finsh it.
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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?
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The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
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Probably the best audio book available on Deep Learning
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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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In this volume in the MIT Press Essential Knowledge series, Amaranth Borsuk considers the history of the book, the future of the book, and the idea of the book. Tracing the interrelationship of form and content in the book's development, she bridges book history, book arts, and electronic literature to expand our definition of an object we thought we knew intimately. Contrary to the many reports of its death (which has been blamed at various times on newspapers, television, and e-readers), the book is alive.
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Macroeconomics takes a broad perspective on the economy of a country or region; it studies economic changes in the aggregate, collecting data on production, unemployment, inflation, consumption, investment, trade, and other aspects of national and international economic life. Policymakers depend on macroeconomists' knowledge when making decisions about such issues as taxes and the public budget, monetary and exchange rate policies, and trade policies-all of which, in turn, affect decisions made by individuals and businesses.
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Helpful
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Nihilism
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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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thought provoking
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The Mind-Body Problem
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In this book the philosopher Jonathan Westphal examines the mind-body problem in detail, laying out the reasoning behind the solutions that have been offered in the past and presenting his own proposal. The sharp focus on the mind-body problem, a problem that is not about the self or consciousness or the soul or anything other than the mind and the body, helps clarify both problem and solutions. Westphal outlines the history of the mind-body problem, beginning with Descartes.
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Multiple chapters without a point
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Algorithms
- MIT Press Essential Knowledge Series
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- Duración: 5 h y 23 m
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Narración:
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Historia
After discussing what an algorithm does and how its effectiveness can be measured, Louridas covers three of the most fundamental applications areas: graphs, which describe networks, from eighteenth-century problems to today's social networks; searching, and how to find the fastest way to search; and sorting, and the importance of choosing the best algorithm for particular tasks. He then presents larger-scale applications: PageRank, Google's founding algorithm; and neural networks and deep learning.
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BEWARE - No accompanying PDF!
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De: Panos Louridas
Lo que los oyentes dicen sobre Data Science
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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- K
- 04-22-20
it was ok
not great, not horrible. as much as you would expect from a small book on a broad subject
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- Sarah Frahm
- 06-21-18
Comprehensive and clear
This is an excellent primer on the concepts, current state, and implications of data science.
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- Andrew George
- 10-28-18
Comforting
There's probably two hours of material and the ethics/philosophy parts are too absolute for a book about data science. As for the material, most of the application side is common sense, but it was nice to hear it.
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- David Bush
- 08-18-22
A must have resource
This is a great source for Data Science Professionals. The concept are explained clearly and from the standpoint of early industry entry.
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- jlouviere
- 01-14-19
performance is borderline unlistenable
good overview/introduction; clear and concise- BUT the narration is atrocious. the reader has great diction and speaks with precision, but he clearly doesn't know much about the subject matter so for about the first 80% of the book he tries to make up for it by careening all over the place with his pitch, stress, juncture, and inflection. his stressing of arbitrary and inappropriate words and syllables takes fairly dense content and adds a layer of complexity that's baffling and unnecessary. to be fair, I'm sure he's a good narrator when it comes to content that he understands.
there we're also some problems with the audio editing in the first third of the book- paragraphs and chapters sometimes start in the middle of a word or sentence, so when you add that to his bizarre pitch modulation, it can be pretty disorienting and leave you wondering if there was something important that was left out.
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- A. Yoshida
- 10-03-19
Reference Book
This book reads like a reference book on data science. Good foundation for understanding data science (i.e., data set, machine learning, clustering, correlation/causation, big data, privacy, and trends).
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- Chris L.
- 02-22-22
that narrator.....aghhhhh!!
This was required reading in my CS degree, so I was thankful to find it on Audible for ease of reading. It's a short introduction to data science and, although a little sandpaper dry, was generally informative.
HOWEVER, the intonation, nasal vocal inflections and accent of the narrator makes me want to scrape my face across a bed of nails! It's even worse than early 1990s Michael Kramer! Its also monotonous, disinterested, and repetitive! If this wasn't required reading, I'd return it. As such, I'll just bear it and take LOTS of breaks.
Publisher, if you're reading this, for the love of God, re-do this narration!
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