Data & AI Monetization Link Generating Synthetic Data With GANs Do we have enough data? Are our datasets imbalanced? How can we accelerate research while avoiding data leakage? Generative Adversarial Networks (GANs) are a promising AI solution to these questions. With GANs, we can generate more and better data that is more fair and generalizable, which can be used to improve ML models and algorithm testing. GANs are also promising in the field of data privacy, since they could break barriers to data sharing, allowing companies and institutions to accelerate research findings.
Just Enough Data Weekly Newsletter 10
Just Enough Data Weekly Newsletter 10
Just Enough Data Weekly Newsletter 10
Data & AI Monetization Link Generating Synthetic Data With GANs Do we have enough data? Are our datasets imbalanced? How can we accelerate research while avoiding data leakage? Generative Adversarial Networks (GANs) are a promising AI solution to these questions. With GANs, we can generate more and better data that is more fair and generalizable, which can be used to improve ML models and algorithm testing. GANs are also promising in the field of data privacy, since they could break barriers to data sharing, allowing companies and institutions to accelerate research findings.