PinnedDean PlebanCookiecutter MLOps — A production-focused ML project templateMany people discuss MLOps and how to get models into production, but few share practical tips you can implement and see immediate value.Dec 19, 2022Dec 19, 2022
Dean PlebaninTowards Data ScienceIntroducing the Machine Learning Reproducibility ScaleQuantifying machine learning reproducibility and presenting a unified ranking system for project reproducibilityNov 16, 2021Nov 16, 2021
Dean PlebaninTowards Data ScienceSolve your MLOps Problems with an Open Source Data Science StackA list of common problems and solutions for open source data science stack, with comments on when they’re better/worse for that issue.Jun 2, 2021Jun 2, 2021
Dean PlebaninTowards Data ScienceCode to production-ready machine learning in 4 stepsHow we turned a data science code repository into a data & model versioned, experiment tracked project, ready for productionFeb 3, 2021Feb 3, 2021
Dean PlebaninTowards Data ScienceDocker for Data Science — A Step by Step GuideCreate an ML workspace running on your machine via Docker, packed with the ML libraries you need, VSCode, Jupyter, and lots of other…Oct 18, 20202Oct 18, 20202
Dean PlebaninTowards Data ScienceData Science Pull Requests — A Method for Data Science Review & MergingA step forward for MLOps and unlocking Open Source Data ScienceSep 30, 2020Sep 30, 2020
Dean PlebaninTowards Data ScienceHow COVID-19 is changing Data Science WorkflowsCOVID-19 is changing a lot of things. What can data scientists do to make the most out of the situation?Apr 15, 2020Apr 15, 2020
Dean PlebaninTowards Data ScienceMaking a case for Open Source Data Science (OSDS)Open Source Software has changed our lives. But where is Open Source Data Science? and why should we care?Feb 2, 2020Feb 2, 2020