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Narrado por:
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Steven Jay Cohen
Acerca de esta escucha
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.
The authors explain that computational thinking (CT) is not a set of concepts for programming; it is a way of thinking that is honed through practice: the mental skills for designing computations to do jobs for us, and for explaining and interpreting the world as a complex of information processes. Mathematically trained experts (known as "computers") who performed complex calculations as teams engaged in CT long before electronic computers. The authors identify six dimensions of today's highly developed CT - methods, machines, computing education, software engineering, computational science, and design - and cover each in a chapter. Along the way, they debunk inflated claims for CT and computation while making clear the power of CT in all its complexity and multiplicity.
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When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.
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Mostly platitudes with no depth
- De Gary en 03-24-17
De: Luke Dormehl
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Why Information Grows
- The Evolution of Order, from Atoms to Economies
- De: César Hidalgo
- Narrado por: Stephen Hoye
- Duración: 5 h y 54 m
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What is economic growth? And why, historically, has it occurred in only a few places? Previous efforts to answer these questions have focused on institutions, geography, finances, and psychology. But according to MIT's anti-disciplinarian César Hidalgo, understanding the nature of economic growth demands transcending the social sciences and including the natural sciences of information, networks, and complexity. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order.
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Great book!
- De bpjammin en 01-07-17
De: César Hidalgo
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The Master Algorithm
- How the Quest for the Ultimate Learning Machine Will Remake Our World
- De: Pedro Domingos
- Narrado por: Mel Foster
- Duración: 13 h y 3 m
- Versión completa
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Historia
Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.
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Great book, irritating narration
- De N. G. PEPIN en 09-24-15
De: Pedro Domingos
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Whiplash
- How to Survive Our Faster Future
- De: Joi Ito, Jeff Howe
- Narrado por: James Foster
- Duración: 7 h y 48 m
- Versión completa
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Today, not only is everything digital getting faster, cheaper, and smaller at an exponential rate, we also have the Internet. When these two revolutions - one in technology and the other in communications - joined, an explosive force was unleashed that changed the very nature of innovation. And with any change, we have seen many strategic blunders and extraordinary learning curves along the way.
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Just general advice on how to survive
- De A. Yoshida en 09-01-17
De: Joi Ito, y otros
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Superminds
- The Surprising Power of People and Computers Thinking Together
- De: Thomas W. Malone
- Narrado por: Mel Foster
- Duración: 11 h y 11 m
- Versión completa
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Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.
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"Why did a Kenyan immigrant win the 2008 election"
- De RealTruth en 07-11-18
De: Thomas W. Malone
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The Intelligent Web
- Search, Smart Algorithms, and Big Data
- De: Gautam Shroff
- Narrado por: Neil Shah
- Duración: 10 h y 42 m
- Versión completa
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General
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Historia
As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion.
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Great book for learning about Deep learning
- De Darkpassenger en 04-16-15
De: Gautam Shroff
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I decided not to finsh it.
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Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.
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Not bad, but...
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Well organized and right to the points
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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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it's okay
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I decided not to finsh it.
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Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.
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Not bad, but...
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Information architecture (IA) is far more challenging - and necessary - than ever. To guide you through this broad ecosystem, this popular guide - now in its fourth edition - provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.
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5th Edition - New for 2024 A great intro to Computer Science concepts for all ages. Perfect for: AP Computer Science Principles (AP-CSP) Teacher Certification Tests (PRAXIS, GACE, etc.) Integrated Digital Technology CS Foundations Exploring Computer Science Curious kids and adults Everyone!--- The 5th edition comes with several updates, including: Computing Systems Deeper dive into CPU/GPU More on logic gate Other updates And more!--- Computer science is the world's fastest growing field of study, and this growth is showing no signs of slowing down. As a new field, computer science can seem...
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User story mapping is a valuable tool for software development, once you understand why and how to use it. This insightful book examines how this often misunderstood technique can help your team stay focused on users and their needs without getting lost in the enthusiasm for individual product features. Author Jeff Patton shows you how changeable story maps enable your team to hold better conversations about the project throughout the development process. Your team will learn to come away with a shared understanding of what you’re attempting to build and why.
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Straw man arguments and handwaving
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This isn’t quite what it seems.
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Great software is something to marvel at: powerful, elegant, functional, a pleasure to work with as both a developer and as a user. Great software isn’t written by machines. It is written by professionals with an unshakable commitment to craftsmanship. The Clean Coder will help you become one of them - and earn the pride and fulfillment that they alone possess.
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The best one
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Causal Inference
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Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy.
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Not appropriate for audible and the reader don’t know how to read math
- De Anonymous User en 08-01-24
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Algorithms
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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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Clean Agile
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Nearly 20 years after the Agile Manifesto was first presented, the legendary Robert C. Martin (“Uncle Bob”) reintroduces Agile values and principles for a new generation - programmers and nonprogrammers alike. Martin, author of Clean Code and other highly influential software development guides, was there at Agile’s founding. Now, in Clean Agile: Back to Basics, he strips away misunderstandings and distractions that over the years have made it harder to use Agile than was originally intended.
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Uncle Bob is at it Again
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Quantum Entanglement
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Quantum physics is notable for its brazen defiance of common sense. (Think of Schrödinger's Cat, famously both dead and alive.) An especially rigorous form of quantum contradiction occurs in experiments with entangled particles. Our common assumption is that objects have properties whether or not anyone is observing them, and the measurement of one can't affect the other. Quantum entanglement rejects this assumption, offering impeccable reasoning and irrefutable evidence of the opposite. Is quantum entanglement mystical, or just mystifying?
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gappy and devoid of rigor
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Once Upon an Algorithm
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In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm.
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didn't quite cut it for me
- De Jack Frasier en 08-02-18
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Self-Tracking
- The MIT Press Essential Knowledge Series
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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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Entirely academic and not what I expected
- De Zubair en 04-30-18
De: Gina Neff, y otros
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Fertility Technology
- MIT Press Essential Knowledge Series
- De: Donna J. Drucker
- Narrado por: Christa Lewis
- Duración: 5 h y 20 m
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General
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Narración:
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Historia
In the late 1850s, a physician in New York City used a syringe and glass tube to inject half a drop of sperm into a woman's uterus, marking the first recorded instance of artificial insemination. From that day forward, doctors and scientists have turned to technology in ever more innovative ways to facilitate conception. Fertility Technology surveys this history in all its medical, practical, and ethical complexity, and offers a look at state-of-the-art fertility technology in various social and political contexts around the world.
De: Donna J. Drucker
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The Technological Singularity
- De: Murray Shanahan
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- Duración: 6 h y 14 m
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General
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Historia
The idea that human history is approaching a "singularity" - that ordinary humans will someday be overtaken by artificially intelligent machines or cognitively enhanced biological intelligence, or both - has moved from the realm of science fiction to serious debate. Some singularity theorists predict that if the field of artificial intelligence (AI) continues to develop at its current dizzying rate, the singularity could come about in the middle of the present century.
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Simplistic. Unworthy.
- De Blair en 07-21-17
De: Murray Shanahan
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The Myth of Artificial Intelligence
- Why Computers Can’t Think the Way We Do
- De: Erik J. Larson
- Narrado por: Perry Daniels
- Duración: 10 h y 9 m
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General
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Historia
Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.
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dead wrong after 2 years
- De K. Lyon en 07-11-23
De: Erik J. Larson
Lo que los oyentes dicen sobre Computational Thinking
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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- Philo
- 05-19-19
A grand tour, in plain terms
I wish this book had arrived earlier, before I launched on a fragmented groping through many other titles in my attempt to cobble this subject together, and comprehend an end-to-end overview, which this one masterfully presents. This book spans the entire subject and is very well-thought, well-edited and geared to the more non-technical listener. (That has not been true of all the MIT titles. The one on auctions, for example, got pretty technical pretty fast.) Despite knowing a great deal of this, in fragments, I benefit from this title pulling all the strands and the context together, from computing history to its logic and languages and technologies. It has heaps of context and connections across the topic, instilling a true literacy.
The narrator is competent but too close to a whisper for my tastes.
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- Hebert Gamarra
- 02-12-25
Very informative and engaging
I truly enjoyed this book. It taught me to appreciate this field as something with the immense potential ti transform my life in ways I had never imagined. Well written and we'll narrated, it is definitely worth it.
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- oj
- 04-12-24
Articulate summary of computation
Comprehensive and said simply. The author covers the important moments in our computational advancement and education. The computer narration is impressive. I was surprised to learn how long it has been experimented with in education. I knew that software engineering is hard. But this book implies that the solving world’s problems depends on our ability to advance computational problem solving.
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- Kico M
- 02-04-24
Ok
This is an ok book, no more than this. Perhaps I had the wrong expectation that the book would bring CT concepts and how to develop this mindset and approach. However the book is more about the history of CT and the relevance and progress of its educational adoption.
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- Douglas Allen
- 03-09-23
Reader needs a bit more energy
Overall this book covers a broad range and history of computers, calculation, and software, which is interesting.
The narrator needs more energy, and there are some Greek character mispronunciations.
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- Jack Frasier
- 09-15-20
quite good overview
quite a good overview of computational thinking, but dont expect detailed explanations of actual concepts.
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- Kindle Customer
- 04-06-21
Too slow, repetitive for professional programmers
We just aren't the intended audience. This is more directed at other professionals who wonder how programming might impact their fields and lives.
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esto le resultó útil a 2 personas