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Machine Learning

We are at the forefront of theoretical and applied Machine Learning. We lead and conduct research to meet real-world problems and make lasting contributions.

Machine learning is the science behind big data, data mining, data science and artificial intelligence. It enables systems to learn from data, identify patterns and make decisions with minimal human intervention. Over the last 10 years Machine Learning has grown to become a fundamental technology driving innovations: Self-driving cars, Siri the iPhone personal assistant, Netflix movie recommendations, cancer diagnosis, discovery of physics' laws and science progress.

Our team covers Association discovery, Bayesian methods, Causal models, Classification, Deep learning, Forecasting, Images, Natural language, Semi-supervised models, Spatio-temporal, Text and Time series.

Learn more about the group

For any additional questions or inquiries, feel free to reach out
to Professor Dinh Phung, Discipline Lead, Machine Learning.