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 classify areas susceptible to a disease based on bioclimatic factors or predict the efficiency of solar power plants based on weather factors. In this session, you will learn how you can integrate ArcGIS with dozens of machine learning models from scikit-learn, as well as, use deep learning models to make predictions. You will also learn about arcgis.learn’s deep learning based TimeSeriesNetwork to predict retail sales based on historical data.