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