Discuss the use of synthetic data in training and validating ML models.
Instruction: Explain how synthetic data can be used in the training and validation phases of ML model development, including benefits and drawbacks.
Context: This question probes the candidate's knowledge of using synthetic data in ML workflows, assessing their understanding of its impact on model performance and fairness.
Updated
Official answer available
Read the opening below, then unlock the full answer and practical guidance.
Synthetic data can help when real data is scarce, privacy-constrained, or missing important edge cases...