Article du vendredi : Dave Kale, expert en analyse de données et en apprentissage automatique

Announcing our #FridayFeature series! From this week onward, we will feature a freelancer from our global pool of 2000+ experts every Friday. From Sciences de la vie à Science des données, we’ve got a wide range of subject specialists on board.

Nous commençons par Dr. David Kale, an alumnus of Stanford University and the University of Southern California. Dr. Kale specializes in using apprentissage machine to extract insights from digital data in high impact domains, including but not limited to soins de santé. 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.

Spécialisations :

Analyse des données, Research & Development, Health & Medicine (General), Probability & Statistiques, Forecasting & Prediction, Machine Learning, Intelligence artificielle

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