From the course: Data Science Foundations: Fundamentals

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Self-generated data

Self-generated data

From the course: Data Science Foundations: Fundamentals

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Self-generated data

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- [Instructor] When I was growing up, I remember an ad for toys that said, "Wind it up and watch it go". But now you can do a similar kind of thing with data science. You can do this looping back process. This is where computers, the algorithms in them, can engage themselves to create the data they need for machine learning algorithms. It's a little bit like the mythical self consuming snake that comes all the way back around. And the reason this is important is because you need data for training your machine learning algorithms so they can determine how to categorize something or the best way to proceed. And having the machines generated by engaging with themselves is an amazingly efficient and useful way of doing that. There are at least three different versions of this, and I'm giving a little bit of my own terminology here. The first one is what I'm calling external reinforcement learning. Now, reinforcement learning…

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