Tallinn University of Technology

Cooperation with Data Science Group

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from noisy, structured, and unstructured data. One of main objectives is to provide innovative approaches for multimodale data fusion from different sources to understand extraction processes better.

OUR EXPERTISE

  • Text/Data mining
  • Machine/Deep learning
  • NLP – natural language processing
  • Explainable artificial intelligence
  • (POI) Recommendation systems
  • (Near)-real-time big data management and analytics
  • Sentiment analysis
  • Misinformation fighting – fake news

WHICH PROBLEMS CAN WE SOLVE

Consultancy in the development of tools

Design Academy-university partnership

Near-real-time processing of big data.
Explainable cutting-edge machine/ deep learning techniques

Striking up an Industry-academy partnership is instrumental in advancing research and creating a skilled workforce

REFERENCES AND PREVIOUS PROJECTS

  • Urban Mobility Hub project, an external collaborator Sabri Allani
  • Aurora project for the harmonized systems for VAT
  • Intelligent transport systems: Accurate travel time/ congestion prediction
  • Sustainable urban computing: Traffic light (local/global)-schema-based management
  • Economic complexity, Machine learning and economic policy (PRG1573)