
Everything Is Predictable
How Bayesian Statistics Explain Our World
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Narrado por:
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Tom Chivers
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De:
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Tom Chivers
Acerca de esta escucha
“Bayes’s moment has clearly arrived.” —The Wall Street Journal
A captivating and user-friendly tour of Bayes’s theorem and its global impact on modern life from the acclaimed science writer and author of The Rationalist’s Guide to the Galaxy.
At its simplest, Bayes’s theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event. But in Everything Is Predictable, Tom Chivers lays out how it affects every aspect of our lives. He explains why highly accurate screening tests can lead to false positives and how a failure to account for it in court has put innocent people in jail. A cornerstone of rational thought, many argue that Bayes’s theorem is a description of almost everything.
But who was the man who lent his name to this theorem? How did an 18th-century Presbyterian minister and amateur mathematician uncover a theorem that would affect fields as diverse as medicine, law, and artificial intelligence?
Fusing biography, razor-sharp science writing, and intellectual history, Everything Is Predictable is an entertaining tour of Bayes’s theorem and its impact on modern life, showing how a single compelling idea can have far reaching consequences.
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General
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Historia
As Nobel Prize-winning economist Ronald Coase once cynically observed, "If you torture data long enough, it will confess." Lying with statistics is a time-honored con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing.
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Now, I can't talk to people.....
- De Andrew Dunbar en 09-28-21
De: Gary Smith
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Prisoner's Dilemma
- John von Neumann, Game Theory, and the Puzzle of the Bomb
- De: William Poundstone
- Narrado por: Rich Miller
- Duración: 10 h y 56 m
- Versión completa
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General
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Historia
Should you watch public television without pledging? Exceed the posted speed limit? Hop a subway turnstile without paying? These questions illustrate the "prisoner's dilemma", a social puzzle that we all face every day. Though the answers may seem simple, their profound implications make the prisoner's dilemma one of the great unifying concepts of science. Watching poker players bluff inspired John von Neumann to construct game theory, a mathematical study of conflict and deception.
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The Data Detective
- Ten Easy Rules to Make Sense of Statistics
- De: Tim Harford
- Narrado por: Tim Harford
- Duración: 10 h y 24 m
- Versión completa
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Historia
Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics - we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us”.
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I expected more
- De A. Visserman en 03-09-21
De: Tim Harford
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A Brief History of Mathematics
- Complete Series
- De: Marcus du Sautoy
- Narrado por: Marcus du Sautoy
- Duración: 2 h y 13 m
- Versión completa
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General
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Historia
This 10-part history of mathematics reveals the personalities behind the calculations: the passions and rivalries of mathematicians struggling to get their ideas heard. Professor Marcus du Sautoy shows how these masters of abstraction find a role in the real world and proves that mathematics is the driving force behind modern science.
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not a book
- De bob en 06-22-21
De: Marcus du Sautoy
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Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- De: Alex J. Gutman, Jordan Goldmeier
- Narrado por: Brian Arens
- Duración: 7 h y 41 m
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Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
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The best data science manual ever written
- De Jordan en 08-29-24
De: Alex J. Gutman, y otros
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The Art of Uncertainty
- How to Navigate Chance, Ignorance, Risk and Luck
- De: David Spiegelhalter
- Narrado por: David Spiegelhalter
- Duración: 10 h y 51 m
- Versión completa
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General
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Renowned statistician David Spiegelhalter shows how we can become better at dealing with what we don't know to make smarter choices in a world so full of puzzling variables. In lucid, lively prose, Spiegelhalter guides us through the principles of probability, illustrating how they can help us think more analytically about everything from medical advice to sports to climate change forecasts.
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Terrific
- De Roger March en 04-01-25
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On the Edge
- The Art of Risking Everything
- De: Nate Silver
- Narrado por: Nate Silver
- Duración: 15 h y 5 m
- Versión completa
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General
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In the bestselling The Signal and the Noise, Nate Silver showed how forecasting would define the age of Big Data. Now, in this timely and riveting new book, Silver investigates "The River," or those whose mastery of risk allows them to shape—and dominate—so much of modern life. These professional risk takers—poker players and hedge fund managers, crypto true-believers and blue-chip art collectors—can teach us much about navigating the uncertainty of the 21st century.
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Fascinating report from a distant land
- De David Benjamin en 09-14-24
De: Nate Silver
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Thinking in Algorithms
- How to Combine Computer Analysis and Human Creativity for Better Problem-Solving and Decision-Making: Strategic Thinking Skills, Book 2
- De: Albert Rutherford
- Narrado por: Russell Newton
- Duración: 2 h y 12 m
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General
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Think creatively like a human. Analyze and solve problems efficiently like a computer. Our everyday lives are filled with inefficient and ineffective decisions and solutions. Being overwhelmed by the magnitude of our problems makes it hard to think clearly. We procrastinate and overthink. Our thoughts are tainted with biases. If only there was a way to simplify our decision-making and problem-solving process and get satisfying, consistent results! The good news is, there is! Apply computer algorithms to your everyday problems.
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Useful techniques to problem solve.
- De James V Wilson en 01-05-23
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The Theory That Would Not Die
- How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy
- De: Sharon Bertsch McGrayne
- Narrado por: Laural Merlington
- Duración: 11 h y 51 m
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General
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Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. Sharon Bertsch McGrayne here explores this controversial theorem and the human obsessions surrounding it.
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Who is the intended audience?
- De Billy en 07-21-14
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Naked Statistics
- Stripping the Dread from the Data
- De: Charles Wheelan
- Narrado por: Jonathan Davis
- Duración: 10 h y 48 m
- Versión completa
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From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
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Starts well then becomes non-Audible
- De Michael en 09-07-13
De: Charles Wheelan
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The Self-Assembling Brain
- How Neural Networks Grow Smarter
- De: Peter Robin Hiesinger
- Narrado por: Joel Richards
- Duración: 12 h y 22 m
- Versión completa
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How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in AI strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network? As Peter Robin Hiesinger argues, "the information problem" underlies both fields.
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Not sure what to think
- De Andrew T. Doren en 01-05-25
A companion to Bernoulli's Fallacy. Probability theory is used to control how we think, it's always a good idea to investigate why some conclude what they do.
Hard to listen to
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Great explanations of apply Bayesian logic
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Great opportunity to ponder...
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Great topic spoken in simple terms!
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Great listen on Bayes
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The best Bayes overview for layman
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Bayes everywhere Now I see him!
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The author reads his own work well. His humor is a welcome relief to trying to understanding the concept.
Well worth your time
Excellent book
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There is not enough thinking and information about Bayes theorem, the narration is dull, everything lacks vibrancy.
The book is extremely meandering.
I forced myself to finish it, because I bought it full price.
I was very motivated to learn about Bayes thinking and the depth of it, in connection to Less Wrong and all the other zeitgeist. Or at least I wanted to be entertained.
I was bitterly disappointed on both counts.
I was looking forward to this. What a disappointment.
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