Michael Brodie

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Dr. Michael L. Brodie has 45+ years of research and industry experience in data science, databases, artificial intelligence, and multidisciplinary problem-solving. I apply my knowledge to big-picture opportunities and challenges with philosophical and imminent practical impacts. My research objective is to better understand and define data science as a field of inquiry – its philosophy and that of data per se, and the data science problem-solving paradigm. Previously I was a Research Scientist in the MIT Data Systems Group. I am a Canadian-American with a PhD in AI & databases and AI from the University of Toronto and a Doctor of Science (honoris causa), National University of Ireland.

data science computer science deep learning machine leanring artificial intelligence accelerating scientific discovery big data

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2013 DataCite Summer Meeting - Opening Keynote: A short history of the Higgs Boson. From a tenth of a billionth of a second after the Big Bang, through the discovery at CERN, to a DataCite DOI (Salvatore Mele - CERN)

datacite • Hace 10 años

data science computer science deep learning machine leanring artificial intelligence accelerating scientific discovery big data

Michael Brodie

Presentaciones

Laws and limits of data science 11 10-14

Dia sds2015 web version

Documentos

Framework for understanding data science.pdf

Recomendaciones

Medical Informatics World 2015

2013 DataCite Summer Meeting - Opening Keynote: A short history of the Higgs Boson. From a tenth of a billionth of a second after the Big Bang, through the discovery at CERN, to a DataCite DOI (Salvatore Mele - CERN)