Time-Series-Applications_AMLD2022

Time Series Applications Workshop at AMLD Africa 2022.

Overview >:

The the workshop will focus on common time series algorithms from a theoretical and applied perspective, including ARIMA/singular spectrum analysis/recurrent neural networks for prediction, topological/geometric approaches for change-point detection, and longitudinal statistical models for statistical testing of factors influencing time series values. The applications will involve Python code and datasets.

Outcome >:

Participants will come away with some theoretical knowledge of time series data and techniques to model time series data, as well as knowledge of how to implement these techniques in Python.

Difficulty >:

Beginner level

The workshop will showcase two main streams in time series:

• topology of time series;
• deep learning for time series.

Slides and notebooks will be available for participants.

Co-organizers >:

1. Rockefeller: Rockefeller is a PhD student at University of Stellenbosch and sought-after AI evangelist. His research focuses on deep learning applications and dynamic systems.
2. Yae Gaba: Dr. Yae Gaba is a researcher who specializes on geometry and TDA applications. He is putting together a 2023 workshop on TDA to solve practical problems.
3. Colleen M. Farrelly: Colleen M. Farrelly is a lead data scientist whose industry work spans TDA, NLP, time series, and GIS applications. She's passionate about data science for social good. She and Dr. Gaba are the authors of The Shape of Data (No Starch Press, 2023).