The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

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"Wonderfully erudite, humorous, and easy to read." --KDNuggets
In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.
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About the author

Pedro Domingos is a professor of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle.
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Basic Books
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Published on
Sep 22, 2015
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Business & Economics / Decision-Making & Problem Solving
Business & Economics / Development / Business Development
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Business & Economics / Forecasting
Business & Economics / Industries / Computers & Information Technology
Computers / History
Computers / Information Theory
Computers / Intelligence (AI) & Semantics
Computers / Logic Design
Computers / Machine Theory
Computers / Neural Networks
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Computers / Social Aspects / Human-Computer Interaction
Mathematics / Probability & Statistics / Bayesian Analysis
Technology & Engineering / Automation
Technology & Engineering / Electronics / Digital
Technology & Engineering / Engineering (General)
Technology & Engineering / Inventions
Technology & Engineering / Machinery
Technology & Engineering / Robotics
Technology & Engineering / Social Aspects
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The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains. If machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful. As the fate of the gorillas now depends more on us humans than on the gorillas themselves, so the fate of our species then would come to depend on the actions of the machine superintelligence. But we have one advantage: we get to make the first move. Will it be possible to construct a seed AI or otherwise to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation? To get closer to an answer to this question, we must make our way through a fascinating landscape of topics and considerations. Read the book and learn about oracles, genies, singletons; about boxing methods, tripwires, and mind crime; about humanity's cosmic endowment and differential technological development; indirect normativity, instrumental convergence, whole brain emulation and technology couplings; Malthusian economics and dystopian evolution; artificial intelligence, and biological cognitive enhancement, and collective intelligence. This profoundly ambitious and original book picks its way carefully through a vast tract of forbiddingly difficult intellectual terrain. Yet the writing is so lucid that it somehow makes it all seem easy. After an utterly engrossing journey that takes us to the frontiers of thinking about the human condition and the future of intelligent life, we find in Nick Bostrom's work nothing less than a reconceptualization of the essential task of our time.
The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands

The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.

Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?

How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God.

Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.
Cada vez mais os algoritmos controlam nossas vidas. Eles encontram livros, filmes, empregos e compromissos amorosos para nós, gerenciam nossos investimentos e descobrem novos medicamentos. Gradualmente, esses algoritmos estão começando a operar por aprendizado a partir de trilhas de dados que deixamos em nosso recente mundo digital. Como crianças curiosas, eles nos observam, imitam e fazem experimentos. E nos principais laboratórios de pesquisa e universidades do mundo começou a corrida pela invenção do algoritmo de aprendizado definitivo: aquele que será capaz de aprender qualquer tipo de conhecimento a partir de dados e fazer o que quisermos, sem precisarmos pedir. Machine learning é a automação da descoberta – o método científico com esteroides – que permite que robôs e computadores inteligentes programem a si próprios. Atualmente, nenhuma área científica é ao mesmo tempo mais importante e envolta em mistério. Pedro Domingos, um dos principais luminares da área, descortina pela primeira vez o véu de mistério para nos permitir espreitar as máquinas de aprendizado que dão poder ao Google, à Amazon e aos nossos smartphones. Ele traça um percurso pelas cinco maiores escolas de machine learning, mostrando como elas transformam ideias da neurociência, evolução, psicologia, física e estatística em algoritmos prontos para nos servir. Passo a passo, monta um projeto para o aprendiz universal que está por vir – o Algoritmo Mestre – e discute o que ele significa para nós e para o futuro dos negócios, da ciência e da sociedade. Se hoje o dataísmo é a filosofia em ascensão, este livro será sua bíblia. A busca pelo aprendizado universal é um dos progressos mais significativos, fascinantes e revolucionários de todos os tempos. Livro inovador, O Algoritmo Mestre é o guia essencial para qualquer pessoa que queira saber não só como a revolução ocorrerá, mas como estar na dianteira.
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