NCA-ADS - Data Science Pipelines and Workflow Automation - Section 3.3
Mitigate underfitting and overfitting.
Distinguish underfitting (high bias) from overfitting (high variance) by examining training and validation loss curves. Apply regularisation, early stopping, or additional training data to correct each failure mode appropriately.
More in this domain
Back to all Data Science Pipelines and Workflow Automation objectives, or the NCA-ADS cert hub.
Examworthy is not affiliated with or endorsed by NVIDIA. Original, blueprint-aligned practice material only.