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

For natural language processing (NLP), supervised learning is used to train algorithms to understand, interpret, and generate human language. An NLP engineer might explain, 'Through supervised learning, our chatbot has learned to provide relevant responses to user queries by analyzing thousands of conversation examples.'

Practice Scenarios

Scenario:

Our AI model failed to identify some patterns in the recent test. We need to reinforce its ability to make accurate predictions.

Response:

Of course, if we refine our model using supervised learning, we might be able to increase our AI's predictive accuracy.

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.