Data Science as the Driving Force for Industrial Physics
INVITED · K32
Presentations
-
How Big Data Unlocks the New Many-body Physics of Online Threats
Invited
–
Presenters
-
Neil Johnson
Physics, University of Miami
Authors
-
Neil Johnson
Physics, University of Miami
-
-
Solving industrial materials problems by using machine learning across diverse computational and experimental data
Invited
–
Presenters
-
Bryce Meredig
Citrine Informatics
Authors
-
Maxwell Hutchinson
Citrine Informatics
-
Erin Antono
Citrine Informatics
-
Brenna Gibbons
Stanford University
-
Sean Paradiso
Citrine Informatics
-
Julia Ling
Citrine Informatics
-
Bryce Meredig
Citrine Informatics
-
-
What physics does and doesn't teach you about data science
Invited
–
Presenters
-
David Purdy
Uber Technologies
Authors
-
David Purdy
Uber Technologies
-
-
Machine Learning Models vs Physics Models: The Battle for acceptance
COFFEE_KLATCH · Invited
–
Authors
-
Sergey Yurgenson
DataRobot
-
-
A hitchhiker’s guide to Data Science
Invited
–
Authors
-
Alexei Kojevnikov
Cold Atom Lab Jet Propulsion Laboratory NASA, Caltech, Synopsis, Inc., Institute for Defense Analyses, American Physical Society, D-Wave, Oak Ridge National Laboratory, European Physical Society, International Centre for Theoretical Physics, Netflix, Department of Physics and Astronomy, Rice University, Syracuse University, Enventys Partners, Fordham University, University of British Columbia
-