Today, machine learning plays an important role in the optimization of financial services. Machine learning usually refers to stochastic methods in which an algorithm learns from many different but representative data sets. The financial services industry often has very large data sets, such as financial transactions, customers, companies and stock markets. Machine learning techniques are particularly well-suited for analyzing these large volumes of data and for deriving predictions and recommendations. Learning algorithms develop a complex model from the sample data. This model can then be applied to other, similar data to gain valuable and proper predictions.