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Machine Learning Is on the Rise, Right?
In many cases, you can't prove that algarithmic decision making is a good idea. You actually prove it mathematically. When e kind try to apply a little more complex decision making on top of these results of machinery models, it all sarcipic. It turns out that if you want a li make or model, just by retraining it to make it more robust, to like, adversaril input,. i think in image classification, you're going to take the accuracy of the model from 98 % to 37% right? In order to get any sort of reasonable robustness, which is just inacceptable for them, a trade-off must be made.