What are some effective data generation techniques?
There are several techniques for data generation, including synthetic data generation, data augmentation, and simulation.
Can you explain synthetic data generation?
Synthetic data generation involves creating artificial data that mimics real-world data, often used for training models.
What is data augmentation?
Data augmentation is a technique used to increase the diversity of your training dataset by applying transformations like rotation or scaling.
How does simulation work in data generation?
Simulation involves creating a model of a real-world process and generating data based on that model, often used in scenarios where real data is scarce.
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