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Prikvačeni tweet
"if you don't have anything nice to Tweet, don't Tweet anything at all" - Confucius
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Man is born free and everywhere he is learning JavaScript frameworks.
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famous: well-known for Good reasons infamous: well-known for Bad reasons therefore flammable: catches on fire for Good reasons inflammable: catches on fire for Bad reasons
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Who loves Python? *Loads of people raise their hands* Awesome - want to get the most out of the language? To help you write clean and effective Python code, here's an A-Z of useful tricks you should know.https://www.freecodecamp.org/news/an-a-z-of-useful-python-tricks-b467524ee747/ …
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Lions sleep in the open, completely relaxed & in vulnerable positions, as they do not have a natural predator. I think about this a lot.
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China’s new credit system which will come online in a couple of months makes financial freedom a hard pull... this is why Bitcoin matters, as not just a SoV but also MoE IT’S COMING, IT’S WATCHING http://www.xinhuanet.com/politics/2019-04/10/c_1124345782.htm …pic.twitter.com/fZRNJ1POL0
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You Should All Be Bowing To China In Gratefulness. For We Can Just As Easily Unleash The Virus Upon Humanity..
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luckily as a student of zhuang zhou the prospect of senselessness does not frighten me
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I did the mathematics on the latest coronavirus strain with an excel sheet. Some assumptions: - 14 day dormancy - No vaccine - No quick diagnosis methodology developed and distributed worldwide in next 5-8 months - 10% kill radius Prediction: 10M to 65M
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21 Science Books Everyone Should Read At Least Once In Their Lives by
@clementinehazelhttps://link.medium.com/Pe97cCwKj3Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Entropy is the amount of information you don't have about the random details of a system: what you'd need to describe those details. It takes 500 zettabytes to fully describe a gram of liquid water, but a manageable amount per molecule! (1/n)pic.twitter.com/cDg7ZFpLt3
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“Google it” means I don’t owe you labor. “Google it” means I choose not to give you my labor. “Google it” means I believe you’ll learn from the process of discovery than from me handing you answers. “Google it” means learn to use the vast resources at your disposal. Google it. https://twitter.com/IAMGGAMOUR/status/1217506886108491776 …
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Broke: retweeting something trashy with an earnest, clear negative comment so everyone knows you don't endorse it. Woke: Retweeting every trashy thing you see with no comment so as not to dilute its power.
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5 must-haves for any
#Probability library: Technical: Feller-Volume 1 Classic: Kolmogorov-Foundations of Prob Real world: Taleb-Antifragile@nntaleb Application: Grosjean-Exhibit CAA (alt. Jacobson-AAP) Bio: Thorp-Man for all Mkts What did I miss? RT/reply w your 5Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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“I like your vibe” Everybody does lmaoooo please leave me alone
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Me (22): I would like to close my savings Banker: How can we keep your business? Me: You can't B: What bank are you switching to? Me: I won't be banking anymore B: But where will you keep your money? Me: I'm going to give it away, enter a monastery, & take a vow of poverty B: Oh.https://twitter.com/adribbleofink/status/1213293516148707328 …
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If 1024 fair coins are each tossed 10 times, chances are good (> 63%) that at least one will come up heads 10 times in a row; and that coin will be proud to explain how its skill, faith, guts & determination made its achievement possible, and how that combo can work for you too.
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Machine learning doesn't realize it's fattening the tails with its behavior. You do.. Think about that woozy feeling that you get when you're standing near a cliff. It's hardwired. ML only optimizes the observable not the unobservable or risk associated with those unobservable.
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Thought-provoking thread. Math researchers: To what extent do you agree? In what ways do you disagree? In particular, would anyone argue math research today is anywhere close to 10x as productive as 100 years ago?https://twitter.com/MathPrinceps/status/1199400874499436544 …
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If I flip a coin 10 times, and it comes up heads 7 of them, do you believe it's fair? What about 70 out of 100? 700 out of 1,000? When specifically do you start doubting. What about if it was a binary event other than a coin, say the sex ratio of newborn sea turtles one year?
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