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Mark Mims

Mark Mims
Principal Engineer, Silicon Valley Data Science

Website | @m_3

Mark’s a physicist by training and programmer by trade.

He’s architected data-driven solutions, on both bare metal and clouds, across a
variety of industries including Energy, Education, and Commercial Modeling and Simulation.

Mark received a doctorate in Mathematical Physics from UT Austin for research
simulating quantum algorithms. He is interested in what it takes to train data
scientists and is working to add “data science” tracks to various degree programs
at Stanford and Utah State University.

Mark’s passion is Data Plumbing, where Data Science meets the real world of
DevOps and Infrastructure Engineering. He is currently employed by Canonical
building DevOps tools for Ubuntu Server and making sure that the Ubuntu Server operating system meets the
needs of Data Plumbers everywhere.

Sessions

Data Science Beekman Parlor - Sutton North
Mark Mims (Silicon Valley Data Science)
Average rating: **...
(2.67, 6 ratings)
This is a talk about the practice of data science. It's about taking all the implicit bits of the data science pipeline and exposing them to the light of day. We'll walk through developing and managing such a data science "pipeline" and cherrypick a few practices from the software development world to improve the quality and stability of results. Read more.

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