Data Science Laboratory is a research platform of Faculty of Information Technology, Czech Technical University in Prague. The mission of our laboratory is to create an environment, where people can share their enthusiasm for research and development in the field of data science. The environment (both physical and virtual) allows you to build on the top of results produced by your colleagues opening new opportunities and accelerating the research. If you are willing to take this opportunity and prepared to share results of your research so other can also benefit, join us.
The lab explores various disciplines that intersect in data science. The research at the lab engages in all steps towards making sense of data and extracting knowledge; data collection, data processing and preprocessing, data analyses, modelling and visualisation; each one of it having data science integrated in itself. Its main focus lies in the research of data mining and machine learning algorithms (segmentation, classification, prediction, recommendation, anomaly detection) and their scalability as well as design of scalable infrastructures to perform computations. The lab fosters applied research by bringing together faculty, students and industry partners in joint research projects. It is also closely linked with the Computational Intelligence and Machine Learning research group.
- Education - The laboratory aims at educating data scientists in both theoretical and practical skills for developing state of the art data mining solutions.
- Basic Research - We are pursuing several research projects to develop and publish original results in data science.
- Applied Research - We collaborate with industry on regular basis verifying impact of our solutions and getting feedback for further research.
- Development - Most of our members are also engineers capable of implementing working prototypes of algorithms that can demonstrate their benefit in industry or other institutions.