Published on: 2025-07-11 11:28:01
Refactoring Clojure (1) This article is based on Writing Friendlier Clojure by Adam Bard, where he shows his approach at refactoring some Clojure code that implements an order-1 word-level Markov text generator. Our mission is to take this code and make it readable: ( defn markov-data [ text ] ( let [ maps ( for [ line ( clojure.string/split text # "\." ) m ( let [ l ( str line "." ) words ( cons :start ( clojure.string/split l # "\s+" ))] ( for [ p ( partition 2 1 ( remove #( = "" % ) words
Keywords: data markov sentence start word
Find related items on AmazonPublished on: 2025-08-29 22:01:46
This article was ported from my old Wordpress blog here, If you see any issues with the rendering or layout, please send me an email I have a little secret: I don’t like the terminology, notation, and style of writing in statistics. I find it unnecessarily complicated. This shows up when trying to read about Markov Chain Monte Carlo methods. Take, for example, the abstract to the Markov Chain Monte Carlo article in the Encyclopedia of Biostatistics. Markov chain Monte Carlo (MCMC) is a techniq
Keywords: distribution markov probability random walk
Find related items on AmazonPublished on: 2025-09-01 18:57:23
Them's fightin' words. Silent Riot A former OpenAI employee is joining Elon Musk's campaign against CEO Sam Altman — and he's got a lot to say about his former boss. After jumping ship to Anthropic, which was cofounded by former OpenAI-ers over AI safety and ethics concerns, researcher Todor Markov is now claiming in a new legal filing that his ex-boss is, essentially, a really bad dude. The root of Markov's complaint, as he explained in his portion of a lengthy amicus brief that also includ
Keywords: agi altman employees markov openai
Find related items on AmazonPublished on: 2025-11-15 17:03:59
Markov Chains Explained Visually By Victor Powell with text by Lewis Lehe Markov chains, named after Andrey Markov, are mathematical systems that hop from one "state" (a situation or set of values) to another. For example, if you made a Markov chain model of a baby's behavior, you might include "playing," "eating", "sleeping," and "crying" as states, which together with other behaviors could form a 'state space': a list of all possible states. In addition, on top of the state space, a Markov
Keywords: chain markov matrix state transition
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