Will Jennings

Test data generation is the process of creating new data that replicates an original dataset. Here’s how developers and data engineers use it.

Data simulation is the process of using large quantities of data to predict events and validate models.

Machine learning models can be trained to recognize patterns in datasets. By utilizing algorithms, they can learn to make decisions based on these patterns.