Download Bad Choices: How Algorithms Can Help You Think Smarter and by Ali Almossawi PDF

By Ali Almossawi

The wildly renowned writer of Bad Arguments returns with a humorous, shrewdpermanent advent to algorithms—those perennially misunderstood, more and more vital problem-solving ideas which may prevent time and bring about higher offerings, each day.
 
Why is fb so strong at predicting what you like? 
How do you find new music?

What's tips to variety your laundry?

Readers worldwide have embraced Ali Almossawi's whimsical illustrations—drawn through his collaborator Alejandro Giraldo—and his humorous, clarifying motives of advanced topics. In fewer than 2 hundred pages, Almossawi demystifies a brand new subject of accelerating relevance to our lives: algorithms. Bad Choices is a booklet for somebody who is checked out a given job and questioned if there has been a greater, quicker approach to get the duty performed. what is the top solution to set up a grocery record? what is the mystery to being extra efficient at paintings? How do we greater convey ourselves in 140-characters? 
    featuring us with replacement equipment for tackling twelve diverse situations, Almossawi publications us to raised offerings that borrow from related structures that underline a working laptop or computer notice processor, a Google seek engine, or a fb advert. when you realize what makes a mode swifter and extra effective, you are going to turn into a extra nimble, artistic problem-solver, able to face new challenges. undesirable offerings will open the realm of algorithms to all readers making this a perennial go-to for enthusiasts of quirky, obtainable technology books.

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

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This approach of assigning higher value to the items that have the highest number of items pointing to them is the very approach that helped Google grow to prominence—it allowed its first-page search results to be much more relevant to users than those of the competition. We will look at two types of relationships: the degree to which things are linked and how similar those linked things are to each other. Degree: Say we have the collection of all the world’s songs and we know or are able to determine for each pair of songs that one song’s artist influenced the other song’s artist.

You see the outcome of this form of analysis anytime you bring up the results page of a search engine or are presented with your news feed on a social media Web site, or are given recommendations about “items you might want to buy” on a shopping Web site or suggestions for “people you may want to connect to” on a professional networking Web site. Newspapers do it too, by modeling an article in terms of, say, the topics that it addresses, and then consider how similar that article is to other ones.

Keep this vignette in mind. We’ll come back to it in a second. First, let us describe the three methods that Ioannis might opt for to get back to the front of the store. OBJECTIVE: GET TO THE FRONT OF THE STORE. METHOD 1: WALK THROUGH THE PASSAGES, MAKING RANDOM TURNS UNTIL HE FINDS HIS WAY OUT. METHOD 2: HOLD HIS RIGHT HAND TO THE WALL AND FOLLOW THE WALL, ONLY MOVING TO THE RIGHT THE WHOLE TIME. METHOD 3: TAKE ONE OF THE THREAD ROLLS OFF THE WALL AND UNWIND IT AS HE MOVES THROUGH THE PASSAGE.

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