If only data, but no background information that be described as mathematical equations, is available, then data-driven approaches must be used. These algorithms extract the desired information (smart data) directly from the sensor data (big data). They encompass the full range of machine learning methods, including linear regression, neural networks, random forest, and hidden Markov models.