Ryan Swanstrom

Best Practices for Machine Learning Engineering

Martin Zinkevich, Research Scientist at Google, just compiled a large list (43 to be exact) of best practices for building machine learning systems.

Rules of Machine Learning:
Best Practices for ML Engineering

If you do data engineering or are involved with building data science systems, this document is worth a look.

Originally Posted

February 4, 2017

in

Data Science 101, Learn Data Science, Site of the Week

by

Ryan Swanstrom

Last Modified:

November 11, 2020

Tags:

data engineering, data science, google, machine learning, Martin Zinkevich

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2 responses to “Best Practices for Machine Learning Engineering”

Best Practices for Machine Learning Engineering | A bunch of data

May 11, 2017

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Best Practices for Machine Learning Engineering — Data Science 101 – Site Title

June 28, 2017

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