Artículo del viernes: Dave Kale, experto en análisis de datos y aprendizaje automático

Announcing our #FridayFeature series! From this week onward, we will feature a freelancer from our global pool of 2000+ experts every Friday. From Ciencias de la vida a Ciencia de los datos, we’ve got a wide range of subject specialists on board.

Comenzamos con Dr. David Kale, an alumnus of Stanford University and the University of Southern California. Dr. Kale specializes in using aprendizaje automático to extract insights from digital data in high impact domains, including but not limited to atención de la salud. 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.

Especializaciones:

Análisis de datos, Research & Development, Health & Medicine (General), Probability & Estadísticas, Forecasting & Prediction, Machine Learning, Inteligencia Artificial

Desea ponerse en contacto con Dr. Kale para un proyecto? ¡Regístrese en www.kolabtree.com!

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