Yinglai's GeoLife Experience 101

This project has the following goals:

1. Get experience with deploying code and performing analyses remotely to cloud instances. In this case Microsoft Azure was chosen.

2. Get experience with distributed analysis on data. In this case Dask with RAPIDS was chosen.

3. Get experience with the GeoLife dataset.

References

GeoLife dataset courtesy of:
[1] Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma. Mining interesting locations and travel sequences from GPS trajectories. In Proceedings of International conference on World Wild Web (WWW 2009), Madrid Spain. ACM Press: 791-800.
[2] Yu Zheng, Quannan Li, Yukun Chen, Xing Xie, Wei-Ying Ma. Understanding Mobility Based on GPS Data. In Proceedings of ACM conference on Ubiquitous Computing (UbiComp 2008), Seoul, Korea. ACM Press: 312-321.
[3] Yu Zheng, Xing Xie, Wei-Ying Ma, GeoLife: A Collaborative Social Networking Service among User, location and trajectory. Invited paper, in IEEE Data Engineering Bulletin. 33, 2, 2010, pp. 32-40.

• https://medium.com/rapids-ai/rapids-on-microsoft-azure-machine-learning-b51d5d5fde2b
• https://docs.microsoft.com/en-us/azure/machine-learning/how-to-configure-environment#vscode