UBDA Training Course: Jump-start AI Training on Time Series Data

You are cordially invited to attend a training course spanning of 2 weeks. This training will introduce and demonstrate to you to the characteristics of time series data, its different analyses, and Virtual Desktop in the UBDA HPC (high performance computing) platform. During the two weeks, the course includes UBDA HPC services, the pre-processing and feature extraction of time series data, the pre-trained models in ONNX and TF Hub, examples of classical models on time series data, introduction of the two forecasting methods (exponential smoothing and ARIMA), comparison of the forecasting performance of these two methods with DL methods such as Prophet and XGBoost and discussion of how to use well-known data sets such as Heng Seng index, and Dow Jones index to conduct forecasting analysis. Participants are expected to have basic knowledge of Python. Please find the arrangements below

Should you have any enquiries, please contact Dr Vincent Ng (vincent.ng.comp@polyu.edu.hk) or Dr Heung Wong (heung.wong@polyu.edu.hk).