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Course detail
FIT-BAYaAcad. year: 2020/2021
Probability theory and probability distributions, Bayesian Inference, Inference in Bayesian models with conjugate priors, Inference in Bayesian Networks, Expectation-Maximization algorithm, Approximate inference in Bayesian models using Gibbs sampling, Variational Bayes inference, Stochastic VB, Infinite mixture models, Dirichlet Process, Chinese Restaurant Process, Pitman-Yor Process for Language modeling, Expectation propagation, Gaussian Process, Auto-Encoding Variational Bayes, Practical applications of Bayesian inference
Language of instruction
Number of ECTS credits
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Department
Offered to foreign students
Learning outcomes of the course unit
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Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
branch MGMe , any year of study, winter semester, compulsory-optional
specialization NADE , any year of study, winter semester, electivespecialization NBIO , any year of study, winter semester, electivespecialization NGRI , any year of study, winter semester, electivespecialization NNET , any year of study, winter semester, electivespecialization NVIZ , any year of study, winter semester, electivespecialization NCPS , any year of study, winter semester, electivespecialization NSEC , any year of study, winter semester, electivespecialization NEMB , any year of study, winter semester, electivespecialization NHPC , any year of study, winter semester, electivespecialization NISD , any year of study, winter semester, electivespecialization NIDE , any year of study, winter semester, electivespecialization NISY , any year of study, winter semester, electivespecialization NMAL , any year of study, winter semester, compulsoryspecialization NMAT , any year of study, winter semester, electivespecialization NSEN , any year of study, winter semester, electivespecialization NVER , any year of study, winter semester, electivespecialization NSPE , any year of study, winter semester, elective
branch MGH , any year of study, winter semester, recommended
Lecture
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Fundamentals seminar
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