Are you working on or considering a machine learning project? On this episode, we'll meet three people from the MLOps community: Demetrios Brinkmann, Kate Kuznecova, and Vishnu Rachakonda. They are here to tell us about the lifecycle of a machine learning project. We'll talk about getting started with prototypes and choosing frameworks, the development process, and finally moving into deployment and production.

Links from the show

Demetrios Brinkmann: @DPBrinkm

Kate Kuznecova: linkedin.com

Vishnu Rachakonda: linkedin.com

MLOps Community: mlops.community

Feature stores: mlops.community

Great Expectations: github.com

source control: DVC: dvc.org

StreamLit: streamlit.io

MLOps Jobs: mlops.pallet.com

Made With ML Apps: madewithml.com

Banana.dev: banana.dev

FastAPI: fastapi.tiangolo.com

MLOps without too much Ops: towardsdatascience.com

NBDev: nbdev.fast.ai

The "Works on My Machine" Certification Program: codinghorror.com

Watch this episode on YouTube: youtube.com

Episode transcripts: talkpython.fm

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