Destaque de sexta-feira: Dave Kale, especialista em análise de dados e aprendizagem de máquinas

Announcing our #FridayFeature series! From this week onward, we will feature a freelancer from our global pool of 2000+ experts every Friday. From Ciências da Vida para Ciência dos dados, we’ve got a wide range of subject specialists on board.

Começamos com Dr. David Kale, an alumnus of Stanford University and the University of Southern California. Dr. Kale specializes in using aprendizagem de máquinas to extract insights from digital data in high impact domains, including but not limited to cuidados com a saúde. His primary interest is in developing robust methods for mining and modeling multivariate time series. Currently, he is modifying and applying recurrent neural networks (RNNs) to clinical time series, which pose many challenges to traditional RNN structures. He is also interested in investigating whether recent breakthroughs in deep reinforcement learning can be used to learn and predict the effects of treatments and interventions.

Especializações:

Análise de dados, Research & Development, Health & Medicine (General), Probability & Estatísticas, Forecasting & Prediction, Machine Learning, Inteligência Artificial

Deseja entrar em contato com Dr. Kale para um projeto? Cadastre-se em www.kolabtree.com!

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