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computer science goes bonk

Computer science goes bonk. 02/25/2013 at 08:58 PM • visualization. One way to generate plausible-sounding gibberish is called Markov-chain text generation. It goes like this:. Grab a bunch of text (Shakespeare's Hamlet, the lyrics to Baby got Back, etc.). Generate probabilities of which letters will follow other letters in that text. Randomly pick new letters using the probabilities you just generated. The result is something that. Like the original text, but is nonetheless random. How random is it?

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computer science goes bonk | blog.natekohl.net Reviews
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Computer science goes bonk. 02/25/2013 at 08:58 PM • visualization. One way to generate plausible-sounding gibberish is called Markov-chain text generation. It goes like this:. Grab a bunch of text (Shakespeare's Hamlet, the lyrics to Baby got Back, etc.). Generate probabilities of which letters will follow other letters in that text. Randomly pick new letters using the probabilities you just generated. The result is something that. Like the original text, but is nonetheless random. How random is it?
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computer science goes bonk | blog.natekohl.net Reviews

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Computer science goes bonk. 02/25/2013 at 08:58 PM • visualization. One way to generate plausible-sounding gibberish is called Markov-chain text generation. It goes like this:. Grab a bunch of text (Shakespeare's Hamlet, the lyrics to Baby got Back, etc.). Generate probabilities of which letters will follow other letters in that text. Randomly pick new letters using the probabilities you just generated. The result is something that. Like the original text, but is nonetheless random. How random is it?

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computer science goes bonk

http://www.blog.natekohl.net/category/visualization

Computer science goes bonk. 02/25/2013 at 08:58 PM • visualization. One way to generate plausible-sounding gibberish is called Markov-chain text generation. It goes like this:. Grab a bunch of text (Shakespeare's Hamlet, the lyrics to Baby got Back, etc.). Generate probabilities of which letters will follow other letters in that text. Randomly pick new letters using the probabilities you just generated. The result is something that. Like the original text, but is nonetheless random. How random is it?

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computer science goes bonk

http://www.blog.natekohl.net/category/programming

Computer science goes bonk. 02/25/2013 at 08:58 PM • visualization. One way to generate plausible-sounding gibberish is called Markov-chain text generation. It goes like this:. Grab a bunch of text (Shakespeare's Hamlet, the lyrics to Baby got Back, etc.). Generate probabilities of which letters will follow other letters in that text. Randomly pick new letters using the probabilities you just generated. The result is something that. Like the original text, but is nonetheless random. How random is it?

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computer science goes bonk

http://www.blog.natekohl.net/what's-in-an-enum-

Computer science goes bonk. What's in an enum? 11/30/2012 at 11:16 AM • C. Pop quiz, hotshot:. How many possible values can. The answer, of course, is four. In addition to. Is a valid value for. A rule of thumb is that enums can hold any value that fits into the smallest bit pattern required by the enum. Since the. Enum needs two bits to store. One valid value is.

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computer science goes bonk

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Computer science goes bonk. 02/25/2013 at 08:58 PM. The bar exam for language lawyers. 02/20/2013 at 04:33 PM. 01/30/2013 at 03:44 PM. What's in an enum? 11/30/2012 at 11:16 AM. Rvalue references and rvalues. 05/19/2012 at 12:28 PM. A type by any other name. 04/25/2012 at 06:29 PM. Diary of an unemployed software engineer, day 5. 02/09/2012 at 02:42 PM. Diary of an unemployed software engineer, day 1. 02/06/2012 at 09:06 PM. 12/17/2011 at 07:47 PM. Get yer filthy hands off my control block.

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computer science goes bonk

http://www.blog.natekohl.net/programming-gibberish

Computer science goes bonk. 02/25/2013 at 08:58 PM • visualization. One way to generate plausible-sounding gibberish is called Markov-chain text generation. It goes like this:. Grab a bunch of text (Shakespeare's Hamlet, the lyrics to Baby got Back, etc.). Generate probabilities of which letters will follow other letters in that text. Randomly pick new letters using the probabilities you just generated. The result is something that. Like the original text, but is nonetheless random. How random is it?

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computer science goes bonk

Computer science goes bonk. 02/25/2013 at 08:58 PM • visualization. One way to generate plausible-sounding gibberish is called Markov-chain text generation. It goes like this:. Grab a bunch of text (Shakespeare's Hamlet, the lyrics to Baby got Back, etc.). Generate probabilities of which letters will follow other letters in that text. Randomly pick new letters using the probabilities you just generated. The result is something that. Like the original text, but is nonetheless random. How random is it?

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