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The Signal and the Noise: Why So Many Predictions Fail-but Some Don't
 
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The Signal and the Noise: Why So Many Predictions Fail-but Some Don't [Format Kindle]

Nate Silver
3.8 étoiles sur 5  Voir tous les commentaires (6 commentaires client)

Prix éditeur - format imprimé : EUR 11,95
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Descriptions du produit

Revue de presse

Outstanding... fun to read... Silver has produced a signal that is a pleasure to follow (Tim Harford Financial Times )

Engagingly written... wholly satisfying... one of the more momentous books of the decade (The New York Times Book Review )

Fascinating... Statisticians are to our age what engineers were to the Victorians, the makers of the particular forms of truth we value and crave. Nate Silver, to pursue the analogy, is being tipped to be our age's Brunel (Bryan Appleyard Sunday Times )

Balanced, intelligent and erudite (Spectator )

Is there anything now that Nate Silver could tell us that we wouldn't believe? (Jonathan Freedland )

In this important book, Nate Silver explains why the performance of experts varies from prescient to useless and why we must plan for the unexpected. Must reading for anyone who cares about what might happen next (Richard Thaler, author of Nudge )

The inhabitants of Westminster are speed-reading The Signal and the Noise by Nate Silver, the New York Times statistician who called the election with cool accuracy. They will find the book remarkable and rewarding (Sunday Telegraph Matthew d'Ancona )

The Galileo of number crunchers (Independent )

A surprisingly accessible peek into the world of mathematical probability (Daily Telegraph )

A whirlwind tour of the success and failure of predictions in a wide variety of fields... Mr. Silver's breezy style makes even the most difficult statistical material accessible. What is more, his arguments and examples are painstakingly researched (Wall Street Journal )

Engaging... Silver displays a knack not just for mining data but for explaining his thinking in an accessible manner (Bloomberg )

A supremely valuable resource for anyone who wants to make good guesses about the future, or who wants to assess the guesses made by others. In other words, everyone (The Boston Globe )

Engaging and sophisticated... [An] entertaining popularization of a subject that scares many people off (Slate )

Here's a prediction: after you read The Signal and the Noise, you'll have much more insight into why some models work well-and also why many don't. You'll learn to pay more attention to weather forecasts for the coming week-and none at all for weather forecasts beyond that. Nate Silver takes a complex, difficult subject and makes it fun, interesting, and relevant (Peter Orszag, Bloomberg columnist and former Director of the Office of Management and Budget under President Barack Obama )

Nate Silver is a new kind of political superstar. One who actually knows what he's talking about...he's singlehandedly shown that most political punditry is about as effective a method of truth-seeking as the ducking stool (Observer New Review )

Présentation de l'éditeur

"Nate Silver's The Signal and the Noise is The Soul of a New Machine for the 21st century." —Rachel Maddow, author of Drift

Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger—all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com.

Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the “prediction paradox”: The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.

In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good—or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary—and dangerous—science.

Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver’s insights are an essential read.

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3.8 étoiles sur 5
3.8 étoiles sur 5
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Par Rlfdinky
Format:Broché|Achat vérifié
Un ouvrage qui présente les difficultés pour isoler les signaux pertinents du bruit. En s'appuyant sur son expérience dans des domaines aussi différents que la politique, le pari sportif, le poker, les échecs ou la bourse, l'auteur montre les difficultés de distinguer la réalité d'un signal. Pour ma part j'ai beaucoup aimé le ton assez différent des ouvrages sur le Big Data qui nous promettent un éclairage presque absolu des modèles. Nate SIlver montre qu'il est nécessaire de mixer des données et des analyses humaines, que certains problèmes ne sont pas modélisables et de manière assez logique qu'il est nécessaire de mesurer la pertinence des prédictions. Sur ce dernier point il montre que l'humain conduit à des biais ...pour se faire entendre lorsque l'on est inconnu ..il faut faire des prédictions atypiques .. et lorsque l'on atteint la notoriété, il est plus urgent dans la tendance. L'auteur énonce un théorème intéressant en économie .... si un prévisionniste a eu du flair .... autant savoir qu'il aura beaucoup de difficultés à en avoir une seconde fois. L'auteur fait une apologie des techniques bayésiennes ... et demande à sortir le cadre éducatif des mains de M. Fisher, et sur ce point je ne peux que le rejoindre ... dans le monde du Big Data .. on trouve des corrélations entre des données ... ce qui ne veut pas dire causalité : ce n'est pas parce que les ventes de glace sont corrélés aux incendies de forêt qu'il faut interdire les glaces Miko.
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1 internautes sur 1 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Interessant entre ouvrage theorique et temoignage 28 juin 2013
Format:Broché|Achat vérifié
Un livre interessant, tres dense et assez technique, mais tout de meme assez vulgarise. Pas toujours facile à lire, mais fonalement assez educatif. C'edt un pavé ! Probablement une refrence de base pour l'avenir
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1 internautes sur 1 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Clever and subtle 23 décembre 2012
Format:Relié|Achat vérifié
N. Silver is no amateur forecaster: he designed a system for forecasting performance of baseball players and set up a web site predicting election results (he also happens to have played poker at a semi-professional level).

The book is full of insights on the pitfalls that forecaster can fall into. But, it also contains a bounty of solutions (notably derived from Bayesian statistics). Effortlessly, N. Silver guides us to subtle and clever ways on how we can improve our prediction abilities (and recognize our limitations!). Let me just give a very small sample of how the book helps us grasp what should be understood:
* Understanding the difference between a prediction and a forecast, as illustrated by earthquakes.
“A prediction is a definitive and specific statement about when and where an earthquake will strike […] Whereas a forecast is a probabilistic statement, usually over a longer time scale.” (p. 149)
* Understanding what “overfitting” is, i.e. designing a model that explains, data-wise, more than is actually possible or actually exists (a good image of the trait of human nature leading us to make such mistakes is that of recognizing animals in clouds), and the unsound confidence that it triggers (p. 167)
* Understanding that you ignore unknown unknowns (as the phrase was coined by D. Rumsfeld) at your own risk.
“There is a tendency in our planning to confuse the unfamiliar with the improbable […] what looks strange is thought improbable” (p. 419)

N. Silver uses a very wide array of topics and references to make his points.
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