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Training set: Difference between revisions
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When learning something new, such as how to count to ten or tie your shoes, someone has to demonstrate the process first. They might provide examples or describe the steps in detail. This serves as the training set for a machine learning model; it requires plenty of examples in order for it to make accurate predictions on new data. Once it has learned from these examples, just like when learning how to count to 20 after mastering counting up from ten, you are now capable of making accurate predictions based on new information. | When learning something new, such as how to count to ten or tie your shoes, someone has to demonstrate the process first. They might provide examples or describe the steps in detail. This serves as the training set for a machine learning model; it requires plenty of examples in order for it to make accurate predictions on new data. Once it has learned from these examples, just like when learning how to count to 20 after mastering counting up from ten, you are now capable of making accurate predictions based on new information. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] [[Category:not updated]] | ||