From the course: Microsoft Azure Machine Learning Fundamentals

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Learn how to select the right algorithms

Learn how to select the right algorithms

From the course: Microsoft Azure Machine Learning Fundamentals

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Learn how to select the right algorithms

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So here we are in the modeling part of the workflow, and we are going to introduce two types of algorithms to keep things simple. This is just to get your started into machine learning. We are going to talk about supervised learning and unsupervised learning. So first, supervised learning. Supervised learning is when your model is based on historical inputs and outputs, known inputs and known outputs. So you are going to give the input and the output to the computer. You are going to tell the computer which algorithm you want to use and then the computer is going to generate this model for you. So we are really in the example that we used at the beginning, the house is. So we have the surface a hundred, maybe square meters, and the price, 15,000. The surface is the input. The output is the price because this is what we want to predict in the future. And we tell also the computer we want to do a regression, which is a simple supervised model. And based on this, we can get the model…

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