Announcing our #FridayFeature シリーズ! From this week onward, we will feature a freelancer from our global pool of 2000+ experts every Friday. From Life Sciences to Data サイエンス, we’ve got a wide range of subject specialists on board.
から始まります。 デビッド・ケール博士, an alumnus of Stanford University and the University of Southern California. Dr. Kale specializes in using マシン learning to extract insights from digital data in high impact domains, including but not limited to 健康 care. His 一次 interest is in developing robust methods for 採掘 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 学ぶ and predict the effects of treatments and interventions.
スペシャライゼーションです。
Data Analysis, Research & Development, Health & Medicine (General), Probability & Statistics, Forecasting & Prediction, Machine Learning, Artificial Intelligence
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