Introduction to How To Make Data Science Workflows Reproducible
Welcome to our comprehensive guide on How To Make Data Science Workflows Reproducible. From the "629: Software for Efficient
How To Make Data Science Workflows Reproducible Comprehensive Overview
Aly Sivji http://pyohio.org/schedule/presentation/303/ Jupyter notebooks Being able to explain your own code a few months after you wrote it is hard. Imagine having to explain the decisions of some AI ... In this workshop we will demonstrate a
Sateesh Peri, Bioinformatics Developer | Training Specialist (Leidos | CDC) Format: Short talk and demo Abstract The term ...
Summary & Highlights for How To Make Data Science Workflows Reproducible
- PyData 2018 How fragile is your
- Reproducible science
- Open source,
- NOTE: We now recommend using the SSH address for the GitHub repository, due to changes in the authentication for HTTPS.
- Dr. Rommie Amaro from University of California, San Diego presents a lecture on "
In summary, understanding How To Make Data Science Workflows Reproducible gives us a better perspective.
