grid-search

Vocabulary Word

Definition

'Grid-search' is a way to try out lots of options to figure out the best one. This is often used in computer science, especially in machine learning, to find the best model parameters.

Examples in Different Contexts

In machine learning, 'grid search' is a technique used to find the optimal hyperparameters for a model by systematically testing a range of values for each parameter. A data scientist might say, 'Using grid search, we can exhaustively explore the parameter space to identify the best configuration for our predictive model.'

Practice Scenarios

Technology

Scenario:

Our machine learning model isn't providing accurate predictions. We may need to retune some of the parameters.

Response:

I agree. Let's run a grid-search to optimize our model parameters for improved accuracy.

Business

Scenario:

Our customer behaviour predictions are off. We may need to revisit the assumptions behind our predictive models.

Response:

Maybe we can use a grid-search approach to identify the best combination of factors for our model.