Monitor performance issues & errors in your code

Lifecycle of a machine learning project

Episode #359, published Sun, Apr 3, 2022, recorded Tue, Mar 22, 2022

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.

Watch this episode on YouTube
Play on YouTube
Watch the live stream version

Links from the show

Demetrios Brinkmann: @DPBrinkm
Kate Kuznecova:
Vishnu Rachakonda:

MLOps Community:
Feature stores:
Great Expectations:
source control: DVC:
MLOps Jobs:
Made With ML Apps:
MLOps without too much Ops:
The "Works on My Machine" Certification Program:
Watch this episode on YouTube:
Episode transcripts:

--- Stay in touch with us ---
Subscribe to us on YouTube:
Follow Talk Python on Mastodon: talkpython
Follow Michael on Mastodon: mkennedy

Want to go deeper? Check out our courses

Episode sponsored by
Ads served ethically
Talk Python's Mastodon Michael Kennedy's Mastodon