workflow – Andrew Fairless, Ph.D.

What I Read: Lessons on ML Platforms

By Andrew Fairless on December 20, 2021November 16, 2021

https://towardsdatascience.com/lessons-on-ml-platforms-from-netflix-doordash-spotify-and-more-f455400115c7 Lessons on ML Platforms — from Netflix, DoorDash, Spotify, and moreErnest ChanMay 12 “Many companies who do ML well have invested in ML platforms to enable data scientists toContinue readingWhat I Read: Lessons on ML Platforms

What I Read: The one data platform to rule them all

By Andrew Fairless on August 26, 2021August 17, 2021

https://leighmariebraswell.substack.com/p/the-one-data-platform-to-rule-them The one data platform to rule them all… but according to whom?An overview of recent data startups based on popular end usersLeigh Marie BraswellJul 20 “…seeing so many “dataContinue readingWhat I Read: The one data platform to rule them all

What I Read: Data Science Peer Review

By Andrew Fairless on August 10, 2021July 22, 2021

https://towardsdatascience.com/postmortem-a-year-of-data-science-peer-review-in-startups-7e9cc2862ed9 Postmortem: A Year of Data Science Peer Review in StartupsShay PalachyJul 7 “About a year ago I suggested two peer review processes for data science projects… I have hadContinue readingWhat I Read: Data Science Peer Review

What I Read: Accelerating ML within CNN

By Andrew Fairless on June 3, 2021May 14, 2021

https://medium.com/cnn-digital/accelerating-ml-within-cnn-983f6b7bd2eb Accelerating ML within CNNKelly DavisMay 11 “Unfortunately, it was not designed for lightweight experimentation, and because of that, the research iteration process was frustratingly slow… we explored a numberContinue readingWhat I Read: Accelerating ML within CNN

What I Watch: Avoid These Common Mistakes Junior Developers Make

By Andrew Fairless on June 2, 2021May 14, 2021

https://youtu.be/5g3dK2DgW-k Avoid These Common Mistakes Junior Developers Make!Apr 28, 2021Continuous Delivery “Nearly all of the organizers that I see seem to optimize work to ensure that everyone is always busy.Continue readingWhat I Watch: Avoid These Common Mistakes Junior Developers Make

What I Watch: Continuous Integration vs Feature Branch Workflow

By Andrew Fairless on June 1, 2021May 14, 2021

https://youtu.be/v4Ijkq6Myfc Continuous Integration vs Feature Branch WorkflowJan 6, 2021Continuous Delivery “Continuous Integration and Feature Branching are both very popular ways of organising work in a development team, but they areContinue readingWhat I Watch: Continuous Integration vs Feature Branch Workflow

What I Read: Models of Data Science teams

By Andrew Fairless on May 11, 2021April 17, 2021

https://www.marcosantoni.com/chess_vs_checkers_teams.html Marco SantoniModels of Data Science teams: Chess vs Checkers “One of the key decisions to take when building a data science team is the mix of roles…. I’ll compareContinue readingWhat I Read: Models of Data Science teams

What I Read: Compare ML Experiment Tracking Tools

By Andrew Fairless on April 21, 2021April 3, 2021

https://dagshub.com/blog/how-to-compare-ml-experiment-tracking-tools-to-fit-your-data-science-workflow/ How to Compare ML Experiment Tracking Tools to Fit Your Data Science WorkflowData Science WorkflowMar 22, 2021Guy SmoilovskyCo-Founder & CTO @ DAGsHub “There are many ML experiment tracking toolsContinue readingWhat I Read: Compare ML Experiment Tracking Tools

What I Read: Kedro Pipelines with Airflow

By Andrew Fairless on March 30, 2021March 15, 2021

https://medium.com/quantumblack/kedro-airflow-0-4-0-orchestrating-kedro-pipelines-with-airflow-23fb1283f24d Kedro-Airflow 0.4.0 — Orchestrating Kedro Pipelines with AirflowThe Kedro team and Astronomer have released Kedro-Airflow 0.4.0 to help you develop modular, maintainable & reproducible code with orchestration superpowers!QuantumBlack, aContinue readingWhat I Read: Kedro Pipelines with Airflow

Tag: workflow