From the course: Data Science Foundations: Fundamentals

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Supervised, unsupervised, and reinforcement learning

Supervised, unsupervised, and reinforcement learning

From the course: Data Science Foundations: Fundamentals

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Supervised, unsupervised, and reinforcement learning

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- [Instructor] People can be very enthusiastic about data science, and sometimes a little too enthusiastic, and they sometimes seems to confuse data science with magic. But as it turns out, data science doesn't involve genies in a bottle, it doesn't involve fairy dust. Instead, it involves algorithms and machine learning. Algorithms are just a series of decisions, not too different from this flowchart. In fact, it's those algorithms that make machine learning possible, or rather, machine learning is the ability of a computer program to find patterns in a data all on its own without you specifically saying, "If it's red, do this, if it's green, do this." But it sees what the pattern is without being explicitly programmed, And this is where some of the most important developments in data science have happened. And for our purposes, I want to briefly introduce three versions of machine learning, three general categories. The first is supervised learning. This is where you are classifying…

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