Machine Learning
How computer programs learn & understand data & make useful predictions
ADS Machine Learning researchers focus on how computer programs can learn from and understand data, and thus make useful predictions based on this data.
Our research is at the intersection of computer science, computational statistics and artificial intelligence and focuses on the design, implementation and evaluation of algorithms that allow computerised systems to derive complex models from incoming data.
Our researchers
Peter Bloem
Postdoc in Artificial Intelligence – UvA
[email protected]
- Complex systems
- Deep learning
- Graph grammars
- Knowledge graphs
- Motif extraction
Peter Grünwald
Professor of Statistical Learning, Machine Learning Group Lead – CWI
[email protected]
- Deep learning
- information theory
- minimum description length
- statistics
Hinda Haned
Professor by Special Appointment of Data Science – UvA
[email protected]
- data-driven decision making
- Intelligent Systems
- responsible data science
Wouter M. Koolen
Scientific Staff Member, Machine Learning Group – CWI
[email protected]
- Bandits
- Deep learning
- Game Theory
- Learning Theory
Max Welling
Professor of Machine Learning – UvA | Director – ICAI QUVA | Director – DELTA Lab
[email protected]
- Big data
- Deep learning