I'm gonna talk about math for a sec, cuz I'm working late and being nerdy.
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Most machine learning algorithms are unexplainable, but controlling them is easy: we can simply turn them off.
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Oh, tons and tons of them.
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My favorite example: back when they were doing the Lord of the Rings movies, they used an algorithm to generate the CGI of the armies
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This algorithm would simulate sword & shield combat, that's how the battle scenes look so dynamic and realistic.
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However, due to imbalance in the payoff computations, the first time they ran it, all the soldiers realized the best action was to run away.
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the vast majority of data analysis is completely superficial though, it'd be silly to apply recent results to those problems
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I don't know what you mean, I made this vast convolutional neural network to figure out you can sell khakis to land rover owners
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you are truly the hero this time needs
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Actual thing a data science man was v proud ofpic.twitter.com/I7qaQwTyiA
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your field is some kind of elaborate joke right
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this is how i feel about software most days
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I do love math and it would be interesting to fulfil a challenge like this, so got any clues on to where the path of new methods starts?
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