Announcing our #FridayFeature series! From this week onward, we will feature a freelancer from our global pool of 2000+ experts every Friday. From Biowissenschaften zu Datenwissenschaft, we’ve got a wide range of subject specialists on board.
Wir beginnen mit Dr. David KaleEr ist Absolvent der Stanford University und der University of Southern California. Dr. Kale ist spezialisiert auf die Verwendung maschinelles Lernen to extract insights from digital data in high impact domains, including but not limited to Gesundheitsfürsorge. 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.
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