Training set: Difference between revisions

Training set (view source)

1 byte removed , 22 February 2023

no edit summary

7,785

edits

Revision as of 04:21, 22 February 2023 (view source) Alpha5 (talk \| contribs) (Created page with "===Introduction== Machine learning relies on access to large amounts of data in order to develop models that accurately predict outcomes. This set, known as the training set, helps train the model so it can recognize patterns and make predictions based on newly added information. ==What is a Training Set?== A training set is a collection of data used to train a machine learning model. This set typically contains examples of inputs and outputs that the model uses to lear...")		Revision as of 04:40, 22 February 2023 (view source) Alpha5 (talk \| contribs) No edit summary Newer edit →
Line 1:		Line 1:
	===Introduction==		==Introduction==
	Machine learning relies on access to large amounts of data in order to develop models that accurately predict outcomes. This set, known as the training set, helps train the model so it can recognize patterns and make predictions based on newly added information.		Machine learning relies on access to large amounts of data in order to develop models that accurately predict outcomes. This set, known as the training set, helps train the model so it can recognize patterns and make predictions based on newly added information.