regularization

Vocabulary Word

Definition

'Regularization' is a technique used in machine learning and statistics to prevent overfitting. It helps models to not pay too much attention to the noise in the data and makes them more general and practical to use.

Examples in Different Contexts

In creative data analysis, 'regularization' is applied to fine-tune predictive models. A creative data analyst might remark, 'With regularization, we fine-tune our models, ensuring more accurate predictions and enabling more informed creative decisions.'

Practice Scenarios

Scenario:

Given the high variance in our neural network's performance on the test set, it seems clear adjustments are necessary.

Response:

One solution could be to incorporate a regularization term within our loss function to penalize excessive complexity.

Business

Scenario:

Our current model for predicting quarterly revenue is overfitting the historical data and needs refining.

Response:

I agree. Perhaps we should apply a Lasso regularization to our model to simplify it and improve predictions.