Technical processes are described by stochastic variables. They reflect the uncertainty that every measurement process is subject to. This chapter introduces both the stochastic fundamentals for working with uncertainties and probabilities, as well as the necessary statistical tools to draw initial conclusions from them. For machine learning, these foundations are important as they help to understand the inner mechanisms of the algorithms.