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jeremykun.com | ||
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www.chrisstucchio.com
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| | | | | So I've just launched my new startup, BeerBnB. It's a hip little site matching beer drinkers with specialty microbreweries - AirBnB for drinkers, or maybe eBay for brewers. My marketer growth hacker has gotten some early publicity by advertising in the bathroom of a few bars - the result was 794 unique ... | |
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jsteinhardt.wordpress.com
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| | | | | [Highlights for the busy: de-bunking standard "Bayes is optimal" arguments; frequentist Solomonoff induction; and a description of the online learning framework.] Short summary. This essay makes many points, each of which I think is worth reading, but if you are only going to understand one point I think it should be "Myth 5? below, which... | |
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www.jeremykun.com
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| | | | | When addressing the question of what it means for an algorithm to learn, one can imagine many different models, and there are quite a few. This invariably raises the question of which models are "the same" and which are "different," along with a precise description of how we're comparing models. We've seen one learning model so far, called Probably Approximately Correct (PAC), which espouses the following answer to the learning question: | |
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flixchatter.net
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| | | Christopher Nolan is back with his sixth feature, 25 years after his feature debut Following. He's reached a point where his films are regarded as motion picture events, as is the case with this one. Nolan has been rather obsessed with this subject matter for a long time, even his previous film Tenet deals with... | ||
