Website for Data-Science-Tag 2019 Hochschule Ulm
Our slides can be found here: Taming Time Series!
To start the notebook environment click on the batch below:
- Welcome & Introduction
- Time Series are Everywhere! (Notebook)
- Hands-On Introduction to Algorithmic Forecasting. (Notebook)
- Real-world Business Forecasting
- Discussion & Wrap Up
In many situations it is necessary to make statements about the future. To decide whether to build a new power plant in the coming years requires predictions about energy demand. If you want to plan your distributors in the coming week, you need to predict order behavior. Planning a warehouse requires forecasts of demand. Forecasting periods range from several years (investments) to a few minutes (IoT monitoring). Regardless of the subject context and forecasting periods, forecasts are an extremely helpful tool to plan effectively and efficiently. This workshop introduces the prediction of R time series and gives an outlook on the use of deep learning methods.