Name: Learning Bayesian networks with R
Start: 2017-11-01T10:30:00-02:00
End: 2017-11-01T12:00:00-02:00
Location: Auditório Prof. João Ernesto Escosteguy Castro / EPS-UFSC

Comunico que nosso próximo Meetup, será realizado no dia 01/11/2017.

Local: Auditório Prof. João Ernesto Escosteguy Castro / EPS-UFSC

Horário: 10h 30min

Programação

Learning Bayesian networks with R – Prof. Renan Mercuri Pinto

Abstract: Understanding the causal architecture underlying biological systems has a great value for the development of optimal management strategies. So far, most studies use only prior knowledge to propose causal models, fact that may hide important relation among variables. In this talk, I present some Bayesian networks (BN) structural learning algorithms available in the R package "bnlearn", which can be used along with prior knowledge in order to investigate the causal architecture, and illustrate their applications with real-world examples.

Renan Mercuri Pinto é professor do Centro Estadual de Educação Tecnológica Paula Souza (Fatec-Americana) e doutorando do Programa de Estatística e Experimentação Agronômica da Esalq/USP. (CV: http://lattes.cnpq.br/8814961600298635 )

Contamos com a sua participação!

Andréa 

Florianópolis R-NNQ R users group

Technology

Education & Technology

New Technology

Statistical Computing

Big Data

R Project for Statistical Computing

Machine Learning

Data Visualization

Predictive Analytics

Data Analytics

Programming in R

Statistical Modeling

Learning Bayesian networks with R

Auditório Prof. João Ernesto Escosteguy Castro / EPS-UFSC

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Florianópolis R-NNQ R users group

Learning Bayesian networks with R

Florianópolis R-NNQ R users group

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