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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 and cognitive scientist Tom Griffiths 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.

©2016 Brian Christian and Tom Griffiths (P)2016 Brilliance Audio, all rights reserved.

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Notations

Global

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  • Global
    2 out of 5 stars
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    5 out of 5 stars
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    5 out of 5 stars

good book, but to detailed for listening

it is a very good book, but i think it is better for reading than listening

1 sur 1 personne(s) ont trouvé cet avis utile.

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  • Global
    4 out of 5 stars
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    3 out of 5 stars
  • 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.

56 sur 58 personne(s) ont trouvé cet avis utile.

  • Global
    3 out of 5 stars
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    4 out of 5 stars
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    3 out of 5 stars
  • 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.

57 sur 62 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
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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.

18 sur 19 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
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    4 out of 5 stars
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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.

84 sur 96 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
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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.

48 sur 55 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
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  • GH
  • 01/05/2016

Absolute Must Listen

If you are into computers, this book is a must, and if you are not, it is still very interesting. You get to hear about numerous different algorithms that affect our daily lives in a unique and interesting narrative. This book is written by authorities. One of the authors is an accomplished Professor and the other an extremely accomplished author.

This book seeks to shed light on the various algorithms that shape our lives that computer science has in many cases solved. This books does not have equations or heavy theory so lay-listeners are safe, but there is enough meat on the bone for us folks in the biz something to chew on. Give it a listen.

127 sur 148 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
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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.

4 sur 4 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
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  • Stephen Redlack
  • 15/09/2016

Highly recommended

Narration is good.
Ideas presented are both intriguing and actionable, especially if you already have an engineering or process improvement mindset.
Great for managers, game players and people who understand the value of data-backed decision making.

44 sur 52 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
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  • Mark
  • 31/05/2016

Excellent

Gave a good account on the role of algorithms and its reflection on human behavior. The maths are succinctly explained without having to resort to pen and paper. Great inspirational book.

45 sur 54 personne(s) ont trouvé cet avis utile.

  • Global
    4 out of 5 stars
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  • Wayne
  • 07/10/2016

Algorithm: The set of steps to accomplish a task

A recipe is an algorithm used in cooking. Remember the 2005 - 2010 CBS TV program NUMB3RS where math professor Charlie Epps solved all of the FBI crime issues for his FBI agent brother Don using math algorithms? Charlie had algorithms for everything. My problem with that program was that they never defined the word algorithm resulting in many viewers believing it was hocus pocus rather than the solid science it really is . This book does a better job of definition as it applies to computers then provides numerous real world helpful examples. It is a marvelous book! But I down rate it to 4 stars because (1) the authors make several errors which they say will be corrected in the paperback and (2) they use several terms without definition such as "factorial" and "polynomial" which are not part of the vocabulary of many potential listeners.

81 sur 98 personne(s) ont trouvé cet avis utile.

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  • Global
    5 out of 5 stars
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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 sur 4 personne(s) ont trouvé cet avis utile.

  • Global
    1 out of 5 stars
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    3 out of 5 stars
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  • 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.

  • Global
    1 out of 5 stars
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    4 out of 5 stars
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    1 out of 5 stars
  • 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.

  • Global
    5 out of 5 stars
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    5 out of 5 stars
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    4 out of 5 stars
  • Amazon Kunde
  • 14/04/2018

Great for anyone interested in computer science

I can warmly recommend it for anyone interested in computer science and/or statistics.

Topics of everyday life are viewed and discussed from an algorithmic perspective, always trying to be most efficient while keeping in mind restrictions and model assumptions.

It adds a very nice flavor that Brian Christian himself narrates the book. I definetely liked his voice and style of reading.

Overall I would definetely recommend this book.

  • Global
    5 out of 5 stars
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    5 out of 5 stars
  • Utilisateur anonyme
  • 21/09/2017

Such a soothing voice :)

I fell asleep to this book more often than I care to admit.
Great book and excellent performance though.

  • Global
    5 out of 5 stars
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    4 out of 5 stars
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    5 out of 5 stars
  • Maxiking
  • 22/06/2017

Very interesting book

Easy enough to understand and very perspective shifting. I never once got board and lamented the times where I had to pause and eagerly awaited continuing.

  • Global
    5 out of 5 stars
  • Ole K.
  • 03/02/2017

CS Background is reasonable but interesting overal

Liked it to get interesting insights into Mathematics, Computer Science and Psychology. If you like these three fields it's definitely a nice audio book for you.

1 sur 2 personne(s) ont trouvé cet avis utile.

  • Global
    4 out of 5 stars
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    5 out of 5 stars
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    4 out of 5 stars
  • Felix Thewes
  • 16/11/2017

the mind of a computer scientist

When you train to become a computer scientist you learn a lot of basics, in this book you get reminded of them. But the great thing is, you also learn how these technical skills can be applied in the real world.
If you want to understand how people with a technical background think and make decisions this is a good chance to do so, and you may learn how to improve your own decision-making.

0 sur 1 personne(s) ont trouvé cet avis utile.

  • Global
    5 out of 5 stars
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    5 out of 5 stars
  • Ben
  • 30/09/2017

Food for thought

I learned game changing ideas for my work and life throughout. Packed with ideas, clearly explained and given context.

0 sur 1 personne(s) ont trouvé cet avis utile.