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 historicla data.

📚 Resources
=============
📖 Proceedings & slides: https://proceedings.esri.com/library/...

Questions? We'd love to answer them on Esri Community!
💬 Community forums: https://community.esri.com/t5/develop...

👉 Follow us
=============
🐦 Esri on Twitter:   / esri  
👤 Esri on Facebook:   / esrigis  
📇 Esri on LinkedIn:   / esri  
📷 Esri on Instagram:   / esrigram  
🐦 @ArcGISDevs on Twitter:   / arcgisdevs  
🐦 @EsriDevEvents on Twitter:   / esridevevents  
🐦 @EsriStartups:   / esristartups  
🔴 Videos at Esri Mediaspace: https://bit.ly/3MXWbqq
🔴 ArcGIS Developers YouTube channel: https://bit.ly/3OnogZH
🐙 GitHub: https://github.com/esri

The Science of Where: http://www.esri.com

12442