Between a business problem and an AI solution sits the task: the precise job you want the model to perform. Defining it clearly is one of the most important steps in any AI project, and one of the most often skipped.

In this video, you'll learn the three ways AI learns a task (supervised, unsupervised, and self-supervised), then tour the common task types: regression and classification, forecasting and imputation, clustering and anomaly detection, and the text-specific tasks of sentiment analysis, topic modeling, and information extraction. Framing your problem as a task is the bridge that makes everything else possible.