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The Data Stack Show cover image

128: The Possibilities Are Endless for Synthetic Data with Alex Watson of Gretel.ai

The Data Stack Show

NOTE

Choosing the Right Machine Learning Model for Different Use Cases

Choosing the right machine learning model depends on the specific use case. For high accuracy, deep learning generative models are recommended, while GANs offer faster training but lower accuracy. For large-scale data generation, statistical models based on copulas are suggested. The choice of model should be based on the trade-off between accuracy and training speed, as well as the scale of data generation required.

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