Artificial neural networks rely heavily on large sets of data to train their models. However, with the constantly evolving data privacy regulations around the world, obtaining high-quality data becomes increasingly challenging, mainly due to security or privacy reasons. Read more and find out how to generate synthetic time series for you machine learning models.
You probably read stories about artificial neural networks which predict stock prices. Some of them are even published as scientific papers. These algorithms were supposed to make their owners rich. Supposedly, it was enough to construct the network, feed it with stock prices, and get prices for the next hour, day or even a week. Is there any truth in such stories?
