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Início Apresentações Learning from Data and Background knowledge

Learning from Data and Background knowledge

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Resumo

It is often possible to combine observed data with background knowledge, expressed as a set of rules or as a terminology. There has been significant work on the combination of data-centered methods, often based on probabilities, and knowledge-based cues, often based on logical languages. We will examine a number of tools that can help one combine data and knowledge when trying to learn a model.

Minibiografia

Fabio G. Cozman is Full Professor at Escola Politecnica, Universidade de São Paulo, where he is the head of the Mechatronics Department. After finishing his PhD at Carnegie Mellon University (USA), Fabio has worked on automating decision-making and on machine learning techniques.

Sobre o Evento

Nos dias 21 e 22 de Junho de 2017, São Paulo recebeu a primeira edição do PAPIs.io Connect no Brasil. Com o intuito de apresentar casos reais de utilização de Machine Learning, o PAPIs contou com mais de 20 palestras apresentando cases e ferramentas de empresas nacionais e internacionais.

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31 out 2017

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