Announcing our #FridayFeature series! From this week onward, we will feature a freelancer from our global pool of 2000+ experts every Friday. From ライフサイエンス にしています。 データサイエンス, 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
機械学習 to extract insights from digital data in high impact domains, including but not limited to
ヘルスケア. 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.
スペシャライゼーションです。
データ分析, Research & Development, Health & Medicine (General), Probability &
統計情報, Forecasting & Prediction, Machine Learning,
人工知能
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