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Brian Christian

Tom Griffiths

Algorithms To Live By. The Computer Science Of Hum: The Computer Science of Human Decisions Tapa blanda – 15 abril 2017

Edición en Inglés de Brian Christian And Tom Griffiths (Autor)

4,5 5.245 valoraciones

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A fascinating exploration of how computer algorithms can be applied to our everyday lives.

In this dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show us how the simple, precise algorithms used by computers can also untangle very human questions. Modern life is constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? The authors explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others.

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms To Live By is full of practical takeaways to help you solve common decision-making problems and illuminate the workings of the human mind.

Longitud de impresión

368 páginas
Idioma

Inglés
Editorial

Harper Collins
Fecha de publicación

15 abril 2017
Dimensiones

12.9 x 2.3 x 19.8 cm
ISBN-10

9780007547999
ISBN-13

978-0007547999
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Descripción del producto

Críticas

‘I’ve been waiting for a book to come along that merges computational models with human psychology – and Christian and Griffiths have succeeded beyond all expectations. This is a wonderful book, written so that anyone can understand the computer science that runs our world – and more importantly, what it means to our lives’ David Eagleman, author of ‘Sum: Tales from the Afterlives’

‘Compelling and entertaining, Algorithms to Live By is packed with practical advice about how to use time, space, and effort more efficiently. And it’s a fascinating exploration of the workings of computer science and the human mind. Whether you want to optimize your to-do list, organize your closet, or understand human memory, this is a great read’ ‘Charles Duhigg, author of The Power of Habit’

‘A truly beautiful exploration through math, computer science and philosophy of some of the most ordinary, yet most important dilemmas any of us is likely to face. Filled with humour and wisdom, this is a bible with a brain’ Aarathi Prasad

Biografía del autor

Brian Christian is the bestselling author of The Most Human Human, which was named a Wall Street Journal bestseller and a New Yorker favorite book of 2011. His writing has appeared in Wired, The Atlantic, The Wall Street Journal , and The Paris Review, among others. Brian has been a featured guest on The Daily Show with Jon Stewart, The Charlie Rose Show, NPR's Radiolab, and the BBC, and has lectured at Google, Microsoft, SETI, the Santa Fe Institute, the Royal Institution of Great Britain, and the London School of Economics.

Tom Griffiths is an Associate Professor of Psychology and Cognitive Science and Director of the Institute of Cognitive and Brain Sciences at the University of California, Berkeley. He has published over 150 scientific papers on a wide range of topics, including machine learning and cultural evolution in addition to cognitive psychology, and he has received numerous early career awards, including those from the National Science Foundation, the Sloan Foundation, and the American Psychological Association.

Detalles del producto

ASIN ‏ : ‎ 0007547994
Editorial ‏ : ‎ Harper Collins; N.º: 12 edición (15 abril 2017)
Idioma ‏ : ‎ Inglés
Tapa blanda ‏ : ‎ 368 páginas
ISBN-10 ‏ : ‎ 9780007547999
ISBN-13 ‏ : ‎ 978-0007547999
Peso del producto ‏ : ‎ 260 g
Dimensiones ‏ : ‎ 12.9 x 2.3 x 19.8 cm

Clasificación en los más vendidos de Amazon: nº12 en Matemáticas aplicadas
- nº16 en Filosofía e historia de las matemáticas
- nº39 en Inteligencia artificial y machine learning

Opiniones de los clientes:
4,5 5.245 valoraciones

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Opiniones de clientes

4,5 de 5

5.245 valoraciones globales

5 estrellas		65%
4 estrellas		24%
3 estrellas		8%
2 estrellas		2%
1 estrella		1%

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Víctor

Una explicación de los algoritmos que mueven el mundo

Revisado en España 🇪🇸 el 25 de noviembre de 2021

Compra verificada

Tal cual.

Lo lei del tirón, sin poder coger otro libro mientras tanto. He de decir, que suelo leer dos libros a la vez, de temáticas distintas, para ir alternando. Pero este me absorvió.

El libro empieza con los inicios de la informática y la introducción de los ordenadores en la sociedad y la industria. En cada uno de estos capítulos, se centra en algún problema técnico que había en ese momento y cuenta como se desarrollaron los algoritmos que solucionaron el problema en cuestión. Y los explica bien, explicando diferentes tecnicismos o detalles más oscuros, y explica también qué otros problemas soluciona cada algoritmo. Es sorprendente y realmente interesante descubrir estos casos que usamos a diario, como el algoritmo que hace que los paquetes de datos lleguen a destino en internet, usando el protocolo TCP, o soluciones a problemas de acceso a la red por parte de varios dispositivos a la vez.

Realmente interesante en general, pero muy en particular para aquellos con interés en la informática, los ordenadores, redes, etc.

Útil

Sarai Sánchez

Un libro obligado para las mujeres.

Revisado en España 🇪🇸 el 4 de junio de 2021

Compra verificada

Un libro obligado para las mujeres y en especial aquellas interesadas en los negocios. Es esencial. Me encanta.

Útil

Ahomer

Interesante repaso a la función de los algoritmos en nuestras vidas

Revisado en España 🇪🇸 el 15 de septiembre de 2019

Compra verificada

He aprendido cosas nuevas sobre el mundo de los algoritmos, y eso ya hace que el libro valga la pena. Algunas partes un poco densas para mi, pero en general lo recomiendo.

Útil

Sergio Mosquera Dopico

Buen libro

Revisado en España 🇪🇸 el 11 de enero de 2019

Compra verificada

Respecto a la entrega, el libro llegó en perfectas condiciones y además muy rápido.
Respecto al contenido (aunque eso no afecta a la nota de la transacción) es muy interesante y sencillo de leer.

A una persona le ha parecido esto útil

Útil

Amazon Customer

Great book, definitely in my best 2019 reads

Revisado en España 🇪🇸 el 20 de noviembre de 2019

Compra verificada

Great book

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Cliente Amazon

Molt interessant

Revisado en España 🇪🇸 el 8 de agosto de 2019

Compra verificada

Molt interessant.

A una persona le ha parecido esto útil

Útil

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W. Swales

Illuminating and fascinating insights into how to improve your lot through insight and decisiveness

Revisado en el Reino Unido 🇬🇧 el 7 de junio de 2022

Compra verificada

Using what appears to be trivialities, what this book does is gently steer you towards achieving and leading a worthwhile fulfilling life by using AI (Artificial Intelligence) logic to help you to spot and understand hidden underlying, severely flawed, deeply entrenched, ingrained systems and practices that are out there to deliberately ensnare you; trap you; and ultimately enslave you and destroy you should you fail to grasp the nettle and do something about the root causes of your unhappiness – be it staying in a pointless fruitless job; failing to acquire skills you need to advance yourself; being influenced by others; or enduring a worthless unfulfilling relationship.

You are then given guidance to develop strategies for living in happiness by using a more LOGICAL approach to spot danger and take positive action to prevent jeopardy by considering if what you are doing is meaningful and worthwhile and brings LONG-TERM happiness.

This ‘ME TOO’ book is not for everyone because it asks you to examine and challenge traditional ‘taboos’ and what is euphemistically known as ‘conventional wisdom’ – and then having the COURAGE to take the required actions to set your life in order and gain your liberty and FREEDOM.

Five stars

A 5 personas les ha parecido esto útil

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ROBIN

Smart with real-life relevance

Revisado en el Reino Unido 🇬🇧 el 12 de abril de 2021

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I am not a computer scientist but a statistics student. Obviously very well researched. The best thing about it is its relevance to real world problems and you come away with useful knowledge to apply. There is no maths in the text but instead the rational logical format expected from computer scientists. This means that it doesn't flow easily and you have to concentrate at times to keep the thread hence the mark-down. This book raises a bigger point for me: computers are logical because they were built and coded by us so really they are just versions of us with bigger brains. Which means many of the point raised surely are just things we would have concluded by ourselves if we had the time & patience to crank the computations, right?

A 6 personas les ha parecido esto útil

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Susan Stepney

This book does several things very well indeed

Revisado en el Reino Unido 🇬🇧 el 1 de enero de 2022

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This book does several things very well indeed. It introduced a broad range of Computer Science’s fundamental algorithms, explaining them simply and clearly. It shows how we might apply these algorithms in our everyday lives, to help us make more efficient and effective decisions. And it shows that even when we have the provably best means of making a decision, it might not always (or even very often) work.

It covers approaches to searching, and when to stop looking for improvements over what you already have. It discuses sorting, and tradeoffs between time spent keeping things in order, and time spent finding them later. It covers scheduling, and how the best order to do things in depends very much on what you are trying to optimise. It finishes with game theory, explaining why some situations lead to poor outcomes for all, and how understanding this can help you know how to change the situation to get better outcomes. And it does all this, and more, with a light touch that makes it very readable.

A 2 personas les ha parecido esto útil

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Customer

Well written

Revisado en el Reino Unido 🇬🇧 el 27 de agosto de 2018

Compra verificada

This book talks about the history and evolution of algorithms from the very beginning, talking about particular problems and the different approaches scientists, mathematicians and others have adopted in trying to solve these issues. This book is clever in how it can get the reader to see a general problem and showing them how it can be broken down into different categories that a computer can solve, and how the thinking to solve that problems can solve other problems. This is a key skill to have in fields such as applied mathematics and computer science and gets the reader thinking about problems in the right way.

A 15 personas les ha parecido esto útil

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Jack Coles

Fantastic for everyday decision-making

Revisado en el Reino Unido 🇬🇧 el 16 de febrero de 2023

Compra verificada

This was a superb attempt to use the methods and working practices of computer scientists, and some less technical algorithms too, in everyday situations. As it states, ‘Algorithms to Live By’.

I’m generally not a fan of the sort of smart-thinking books which aggregate and cherry-pick research and force it through one unhelpful paradigm. They usually have an awful subtitle, and choose poor quality research to back up their points. They all end up saying the same thing, largely.

This book is not one of those. It explained things in a much easier and accessible way than I have ever seen them explained, such as caching, distributions and Bayesian probability. And it also introduced the reader to a number of ways computer scientists think and terms and framings that they use in everyday work that applies in real life.

This book could apply to a great many situations for the reader, from work problems to everyday life - like selling a house - and is simple, yet technical. The authors are good at communicating their thoughts, even if they do make one or two charitable assertions about some aspects that relate to what they are covering.

There is good life advice, good computer science advice, and a short primer on some of the more basic tenets of computer science, statistics and probability, and some analysis too. Fantastic stuff.

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Algorithms To Live By. The Computer Science Of Hum: The Computer Science of Human Decisions Tapa blanda – 15 abril 2017

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Brian Christian

Tom Griffiths

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