Sequential data — data that has time dependency — is very common in business, ranging from credit card transactions to medical healthcare records to stock market prices. But privacy regulations limit and dramatically slow-down access to useful data, essential to research and development. This creates a demand for highly representative, yet fully private, synthetic sequential … [Read more...] about Generating Synthetic Sequential Data Using GANs