supervised-learning

Vocabulary Word

Definition

'Supervised learning' is when a computer is trained using data that is 'labeled', meaning it already has the right answer attached to it. It helps the computer learn to predict the correct outcome for new data.

Examples in Different Contexts

In image recognition, supervised learning algorithms analyze labeled images to recognize patterns, objects, or faces. A computer vision specialist might state, 'Supervised learning enables our security system to identify authorized personnel by comparing surveillance images with a database of employee photos.'

Practice Scenarios

Business

Scenario:

Our model is falling short in predicting quarterly sales. It seems we may need to include more variables or consider a different approach.

Response:

I think supervised learning will allow us to include those additional variables and enhance our sales predictions.

Tech

Scenario:

During the prediction phase, our algorithm seems to be incorrectly categorizing the data. We may need to think about refining the model.

Response:

Yes, we can implement a supervised learning model to improve the algorithm's prediction capabilities.