PROBABILISTIC MACHINE LEARNING

Learning Goals

Program in pills

Probabilistic and Bayesian linear regression and classification. Kernel based methods and Gaussian Processes. Graphical models and exact inference. Sampling methods. Approximate inference for models with latent variables. Generative modelling.

Area

Machine Learning and Artificial Intelligence

Curriculum
QUANTUM COMPUTING

B

Curriculum
MODELING AND DIGITAL TWINS

B

Curriculum
HPC AND DATA ENGINEERING

B

SSD

INF/01

ECTS

6

Semester

2

Lecturers

Bortolussi Luca
Link (esse3)
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