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Bad Choices: How Algorithms Can Help You Think Smarter and Live Happier

Bad Choices: How Algorithms Can Help You Think Smarter and Live Happier

Bad Choices: How Algorithms Can Help You Think Smarter and Live Happier

hardback | English
Published: 6 April, 2017
Standard worldwide delivery by Tue, July 14 - Fri, July 17
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Description

What's the best way to sort your laundry?

Why is Facebook so good at predicting what you like?

How do you find new music?

Readers around the world have embraced Ali Almossawi's whimsical illustrations and his funny, clarifying explanations of complex subjects. In Bad Choices Almossawi demystifies a new topic of increasing relevance to our lives: algorithms. This is a book for anyone who's looked at a given task and wondered if there was a better, faster way to get it done. What's the best way to organize a grocery list? What's the secret to being more productive at work? How can we better express ourselves in 140-characters?

Presenting us with alternative methods for tackling each scenario, Almossawi guides us to better choices that borrow from same systems that underline a computer word processor, a Google search engine, or a Facebook ad. Once you recognise what makes a method faster and more efficient, you'll become a more nimble, creative problem-solver, ready to face new challenges.

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More Details

Type Book
ISBN13 9781473650763
ISBN10 1473650763
Number Of Pages 160
Item Weight 320 g
Product Dimensions 156 x 12 x 200 mm
Publisher / Reseller John Murray
Format hardback
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Media Reviews

One of the more clever ways of introducing computational thinking to the general public * Vint Cerf, Turing Award winner, Chief Internet Evangelist at Google, a 'Father of the Internet' *

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Author's Bio

Ali Almossawi works on the Firefox team at Mozilla and is an alumnus of MIT's Engineering Systems Division (MS) and Carnegie Mellon's School of Computer Science (MS). Previous stints included working as a research associate at Harvard and as a collaborator at the MIT Media Lab. His writing has appeared in Wired and Scientific American.

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