Machine learning

Mathematical theory of learning from data, including the probabilistic modelling, inference and sampling methods used in machine learning.

• Online learning and boosting
• Supervised learning and regression
• Unsupervised learning and matrix factorization
• Probabilistic graphical models
• Bayesian inference and sampling

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