课程: Google Cloud Professional Machine Learning Engineer Cert Prep

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Supervised vs. unsupervised ML

Supervised vs. unsupervised ML - Google Cloud Platform教程

课程: Google Cloud Professional Machine Learning Engineer Cert Prep

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Supervised vs. unsupervised ML

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- [Instructor] There are some key differences between unsupervised machine learning and supervised machine learning. Let's first take a look at supervised machine learning. It works by taking labeled historical data and using that historical data to make a prediction. In the case of a regression problem, here, we have points per game. If we wanted to use that to predict a salary, we would be able to create a supervised machine learning prediction based on that label of points, which would predict the target of salary. So in any scenario where you have labeled data, especially tabular data like this that's in a numerical form, you can solve it by doing supervised machine learning. In the case of unsupervised machine learning, the key idea here is that you're going to discover hidden patterns, and those could then become the labels. Here's a great scenario that we could take a look at by using clustering, and we would…

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