How (not) to use Machine Learning for time series forecasting: The sequel - KDnuggets

Time series forecasting is an important area of machine learning. It is important because there are so many prediction problems that involve a time component. However, while the time component adds additional information, it also makes time series problems more difficult to handle compared to many other prediction tasks. Time series data, as the name indicates, differ from other types of data in the sense that the temporal aspect is important. On a positive note, this gives us additional information that can be used when building our machine learning model -- that not only the input features contain useful information, but also the changes in input/output over time.