Deep Learning with Feature, Tabular, and Time Series Data

Deep neural networks work just as well on feature, tabular, and time-series data as they do on imagery and unstructured text. These models can be used for classification, prediction, and forecasting problems. In this session, you will learn how you can integrate ArcGIS with dozens of machine learning models from scikit-learn, and how you can use deep learning models to make predictions. We'll also demonstrate arcgis.learn’s deep learning-based TimeSeriesNetwork, which can be used to forecast future values based on historical time-series data.