639: Simplifying Machine Learning
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Is Reactor Learning Scary?
With supervised or unsupervised learning approaches, typically we're trying to minimize cost. With reinforcement learning, where the algorithm just explores the environment, it's generating new data with every action that it takes. And yeah, so we have less control over it in the sense that when we train a supervised learning algorithm on a specific set of photos of cats, those photos of cats don't change. It will end up generating data that's never been seen before. You don't know exactly necessarily what it's going to run into. I wouldn't say even maliciously in a way. Just in a, you have an irresponsible employee who forgot to disconnect the computer that runs this machine from the internet
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