An introduction to time series forecasting Algorithmia Blog

Despite its almost ubiquitous use in the business industry and social sciences, time series analysis and by extension time series forecasting is one of the least understood machine learning methods new data scientists and machine learning engineers are undertaking. The purpose of this blog is to provide an overview of this lesser-known but incredibly important machine learning technique. To answer this question, let's take a step back to discuss the types of data that we use for typical regression and classification tasks. When we make a prediction about a new observation, that model is built from hundreds or thousands of previous observations that are either all captured at a single point in time, or from data points in which time does not matter. This is known as cross-sectional data.