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Algorithms to Live By
- The Computer Science of Human Decisions
- Lu par : Brian Christian
- Durée : 11 h et 50 min
- Catégories : Business et carrière, Management et direction

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Description
A fascinating exploration of how computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind
All our lives are 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? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such problems for decades. And the solutions they've found have much to teach us.
In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise algorithms used by computers can also untangle very human questions. They 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 transforms the wisdom of computer science into strategies for human living.
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Commentaires - Veuillez sélectionner les onglets ci-dessous pour changer la provenance des commentaires.
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- Renato Ferreira de Souza
- 06/02/2017
good book, but to detailed for listening
it is a very good book, but i think it is better for reading than listening
4 personnes ont trouvé cela utile
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- Thanh Tu
- 10/03/2019
Good book with multiple reference about computer
First of all, I like the book. I learned a few thing while listening it. It give a lot reference about algorithm and how to apply it. But howover, it used many classical examples of computer science so it might be boring during the listening. plus the advice it gives depends a lot in context. All and all, good book, recommended for those who want to computerize your way of thinking.
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- ARZU SOYTURK
- 09/01/2019
this is a very good book to listen to I like it
this is a very good book to listen to I really liked it a lot
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- Cushla T.
- 07/10/2018
Loved it!
Great insight into computer science, this book humanized it for me and made me understand the human challenges computer science is trying to address. It made me understand more then”science” of computers and information, as opposed to IT. I’ve recommended it to others, the brainy friends from other disciplines. It’s definitely for a smart and curious audience, not for everyone.
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- Michael D. Busch
- 03/10/2016
Loved this book!
The authors take us on an easy-to-understand grand tour of the science of computer algorithms — stopping, sorting, caching, predicting, game theory, and much more — and then do a marvelous job of explaining The application of these algorithms to the most mundane problems of everyday human experience — parking, dating, remembering, playing poker, etc. A tour de force! I enjoyed it greatly, and recommended it to several friends.
56 personnes ont trouvé cela utile
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- Aaron P.
- 11/03/2019
HEARTLESS
I have 10 hours left of this book left to listen too, and so far, this book comes across completely heartless and off-putting. It is everything that is WRONG with corporate America and today's business world. I knew, just by the title that it was going to be a book about making decisions based on math and logic, but the author COMPLETELY takes all the "human" out of the decision making process, at least so far in the beginning of the book. I'm sorry, but if you go with the author's summation of a 37% decision making threshold in the decision making process of whom you employ just about anyone will usually make the right decision. Hell, even if you intuitively choose the person and didn't know about this percentage at the start the hiring manager will do just a well in their decision making process... I can pretty much guarantee it. It is simply insane that this book has so many high reviews... and the narration is borrowing as hell! The dude sounds like he is sleeping at the wheel. Dry and boring, monotone, much like a bad computer voice... ugh. How are these reviews so high?????? AND, it's not complicated at all. It's simple math. It's simple deductive logic based reasoning! And I went to Art School. This book is frustrating.
45 personnes ont trouvé cela utile
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- Megan Carr
- 31/01/2018
How do you prioritize when everything is top priority? I have an answer now.
Have you ever had the inevitable interview question about how you prioritize so many different things when everything needs to be done right now? I am a “non traditional” med student with a background in business and real estate. I’ve been on my fair share of interviews and am currently rotating through clinical interviews. I have heard at least some version of this exact question in every interview I’ve had in both medicine and the business world. My most recent interviewer said they had never heard someone put so much thought into an answer after I decided to answer given the theorems described in the chapter on prioritizing. 😂 I have gained a much better understanding of many different theorems used from computer algorithms to economics and how they can be used to optimize my own decisions. It was an enlightening read.
134 personnes ont trouvé cela utile
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- Marcy N.
- 23/10/2017
diamonds among the brickwork
I persevered to the end and I'm glad that I did. This is definitely a book for people who understand computers and math, which is not my strong suit. However, what i could understand was very interesting and gave me many points to think about regarding human interactions.
71 personnes ont trouvé cela utile
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- M
- 10/10/2016
Not Just Computer Science
This fascinating and entertaining book discusses several famous decision problems that I would not necessarily call computer science problems: “The Secretary Problem” (optimal stopping), “The Multi-Armed Bandit Problem”, “Bayes’s Lottery/Laplace’s Sunrise Problem”, "The Prisoner's Dilemma". and “The Traveling Salesman Problem". It also discusses merge-sort, caching, and the Least-Recently-Used (LRU) principle, which do seem more like computer science. This may sound dry, but it isn't! The authors sprinkle in anecdotes, short biographical sketches, and quotations that keep things fresh and interesting. I also own the Kindle edition, which has some useful figures, tables, and notes, but this works fine as an audiobook. Any equations are relegated to the notes. One of the authors, Brian Christian, reads it well.
90 personnes ont trouvé cela utile
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- Amazon Customer
- 11/10/2016
Beware non-techies
I have a hard time grasping computer science, statistics and the like. So, I did not follow the narrator's explanations very well. But I did like hearing the results of his stories. I listened to the whole book even though I probably only understood 20% of it. The narrator had a nice voice and that made it easy for me to keep listening.
160 personnes ont trouvé cela utile
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- Adam Hosman
- 07/08/2017
Great listen, just don't expect tips!
Spoiler: the conclusion of many chapters is that your intuition is better than any current algorithm. Therefore, I wouldn't buy this book for tips. If you're smart, your intuition is already better, and if you're stupid, you're not going to understand the concepts anyway. However, I enjoyed the book as a fascinating exploration into how the mind works optimally, and liked putting words to the things I’m already just doing.
141 personnes ont trouvé cela utile
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- Hobbit Taz
- 07/10/2016
I will Re-Read this one!
What made the experience of listening to Algorithms to Live By the most enjoyable?
I Don't normally write reviews on books and movies - but this one I started promoting to fellow workers before I was 1/2 way through it. It was a really interesting way to look at everyday life tasks and the methods used for best results based in mathematical and computer Algorithm theorems (but explaining in everyday non-mathematical ways). I will have to read again myself.
Was this a book you wanted to listen to all in one sitting?
I think taking the book in small portions (a chapter at a time - listening to it a couple times even if you miss following a portion). Allow the material to soak in and measure it against your everyday activities to best decide which of the Algorithms to best apply to your (or I found in some cases explained what I was already doing).
Any additional comments?
On a Side note if you are like me and deal with computers / numbers / and other such detail oriented thinking you probably are aware of some or many of the algorithms mentioned, but it was interesting to see them applied to everyday activities.
123 personnes ont trouvé cela utile
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- Sean
- 24/07/2016
Accessible and engaging
I have an engineering background, but little formal computer science training. The text felt approachable for a general audience and the authors weave in some good stories. I was familiar with the topics on probability, randomness and optimization, yet found valuable new insights. Recommended to anyone with an interest in computing, algorithms and decision making.
100 personnes ont trouvé cela utile
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- Amazon Customer
- 22/09/2016
Really Good
I really enjoyed this book all the way through. After listening, I feel like more mentally efficient and organized. The chapter in caching was especially helpful for organizing myself a bit better. Highly recommend.
57 personnes ont trouvé cela utile
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- User123
- 10/07/2018
Der Sprecher ist zum Einschlafen
Nach einer Stunde hören, kann ich es mir nicht mehr anhören 10€ hin oder her. Der Sprecher liest so langweilig und monoton, es geht nicht mehr.
9 personnes ont trouvé cela utile
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- Mostafa Nageeb
- 04/01/2017
A must read for both CS and non-CS people alike
I never thought I would enjoy an algorithms book as much as I enjoyed this one. It has a unique perspective combining history, real world problems, and deeply technical topics in a fun, simple English format.
If you studied computer science, it will give you the history and the why of many of the things you studied as well as expand your knowledge to other areas you might have heard of but never worked on.
If you didn't study computer science, it will help you a lot to understand computational thinking, why things the way they are, and surprise surprise, you will learn about the limitations of computers and the trade offs software developers have to make to reach a working solution.
In all cases, you will learn how to use computational thinking to make decisions in life, and some of these will be your algorithms to live by.
4 personnes ont trouvé cela utile
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- Weismat
- 28/08/2018
Empfehlenswert
Eine gelungene Mischung aus Informatik Theorie und Anwendung in anderen Bereichen. Kurzweiliges Lernen macht Spaß.
2 personnes ont trouvé cela utile
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- Lars
- 19/04/2018
Well known problems explained for dummies
Would not recommend this book to software developers or mathematicians. nothing new to see here.
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- Sven Jaenisch
- 01/09/2020
Both hard and easy to listen to
All chapters are highly fascinating. Though some are easy to understand, other chapters I found myself skipping back a couple of minutes because shifting away one's attention for even just a couple of seconds can result in you losing track. this by no means is a sign of this book being bad - it's the contrary. this book is both parts entertaining and informative while challenging you to keep paying close attention in order to profit from the gained knowledge as much as possible. The one thing I liked most is the chapter's interconnectivity. the narrator keeps reminding you about what "we" learned in past chapters and how this applies to the following topic. in other words this partly takes the burden of remembering every single chapter from start to finish from you (which is nice). I'd recommend this book to everyone who is particularly interested in certain aspects of human behavior and/or computer science especially to improve and refresh one's knowledge base on one or both fields.
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Global
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Interprétation
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Histoire

- Utilisateur anonyme
- 02/04/2020
Speaker is gruwesome! Bored, agitated, unfocused.
How can you let such a person read?! I could not listen longer than 10 minutes, becasue the speakers voice is bored, agitated, distracted, like a schoolboy reading a boring text he does not understand what it is about. Awful!
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Global
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Interprétation
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Histoire

- MR S MCLEAN
- 19/09/2019
So many good ideas
Really enjoyed this book. Wish they'd got a professional actor to read it but audio quality is all clear and well produced. Have bought the print version as well but will probably also listen again.
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Global
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Interprétation
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Histoire

- Amazon Kunde
- 13/03/2019
shows a different view
I didn't like the beginning chapters, but it got really good in the end. Really interesting to look at everyday things from computer science perspective.
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Global
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Interprétation
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Histoire

- Martin Schröder
- 15/11/2018
Wonderfully humanistic
A wonderfully humanistic view from the perspective of Computer Science onto living one's life and being kind with many practical instructions on how to solve daily problems.
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Global
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Interprétation
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Histoire

- Jon Rutherford
- 13/05/2018
Disappointing
Couldn't get past 3rd chapter. Computer scientists trying to apply some algorithms to everyday life, but completely omitting key variables which must influence our decisions.
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