Machine Learning For Health Professors in Global

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Saikat Chatterjee
Royal Institute of Technology Sweden
artificial intelligence in healthcare
statistical machine learning
medical data analytics
deep learning
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Xin Wang
Monash University Australia
machine vision
ai applications in healthcare
deep learning
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Xiaochen Yang
University of Glasgow United Kingdom
statistical machine learning
disease progression modeling
disease detection
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
deep learning
machine learning frameworks
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Shai Ben-david
University of Waterloo Canada
statistical machine learning
computational machine learning
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Ji Zhu
University of Michigan United States of America
statistical machine learning
statistical modeling in health science
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Mi Park
University of British Columbia Canada
statistical machine learning
theoretical machine learning
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Danica Sutherland
University of British Columbia Canada
machine learning
statistical machine learning
theoretical machine learning
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Fani Deligianni
University of Glasgow United Kingdom
statistical machine learning
deep learning
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Julian Kooij
Delft University of Technology Netherlands
statistical machine learning
deep learning
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Adji Dieng
Princeton University United States of America
statistical machine learning
deep learning
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Tsu-pei Chiu
University of Southern California United States of America
statistical machine learning
deep learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
statistical machine learning
deep learning
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Tom Rainforth
University of Oxford United Kingdom
statistical machine learning
deep learning
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Adji Dieng
Princeton University United States of America
statistical machine learning
deep learning
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Lei Ding
University of Manitoba Canada
statistical machine learning
deep learning
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Xuelian Cheng
Monash University Australia
automated machine learning
deep learning
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Christopher Sun
University of Ottawa Canada
applied machine learning
deep learning
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Stefan Zohren
University of Oxford United Kingdom
applied machine learning
deep learning
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Yuan Tian
Queen's University Canada
applied machine learning
deep learning
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Sinisa Colic
University of Toronto Canada
applied machine learning
deep learning
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