series prediction as well as financial time series. We then introduce the learning theory and formalise supervised learning … in the cases of neural networks and recurrent neural networks. We present statistical inference and graph theory in order … stochastic control theory and dynamic programming, we introduce temporal difference (TD) learning and its extensions, discuss …

names. We document that one explanation for this finding is that if an algorithm receives in real time less data about one … group, it will learn at different speeds. Since black names are less common, the algorithm learns about the quality of the … black names even if the algorithm judges the ad to be of low-quality. We extend this result by presenting evidence that ads …