Insurance, Risk Management, Data Science, Insurtech, Machine Learning.
is to generate synthetic data that mimics the training dataset to an extent where the Discriminator cannot distinguish the synthetic data from the real data. The input to the Generator is a random noise vector x’ (usually a uniform or normal distribution). The noise vector is mapped to a new data