From June 30 to July 6 2018, the two Big Data Competence Centers in Germany, ScaDS Dresden/Leipzig and BBDC, organized the 4th International Summer School on Big Data and Machine Learning in their summer school series. The summer school took place at Leipzig University.
Participants of the 4th International Summer School 2018
Program & Highlights
The Summer School was preceded by a „streamline“ hackathon which centered on the hands-on development of an application for real-time analytics of streaming data. The Hackathon focused on the practical application of stream-based event processing. The challenge was to select one or more real-time data sources and build real-time analytics workflows or tools to improve strategic planning or decision making. Afterwards, a Summer School jury selected the best hackathon results. The Institute for Applied Informatics at the University of Leipzig e.V. (InfaAI) donated a price of 500 euros for the winning team.
The main program of the Summer School 2018 included the following topics:
- Deep Learning
- Data Mining in Stream Data
- Machine Learning for the Sciences
- Declarative machine learning with Apache SystemML
- Confidentiality and Integrity of Cloud Databases
- Visual Analytics for Big Data
- Cypher-based Graph Analytics on Spark
- Web-scale information extraction
- Big Data Integration
- Big Data and HPC
In addition to the scientific program, the Summer School offered several social activities such as a city walk and a dinner in a traditional restaurant.
For a review with photos from the summer school and hackathon, see our blogpost: Review of the ScaDS Summer School 2018.
Below is the full program with additional information on the speakers and their topics: