Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
#359: Lifecycle of a machine learning project
April 03, 2022
01:07:29
56.96 MB
Downloads: 0
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
--- Stay in touch with us ---
Subscribe on YouTube: youtube.com
Follow Talk Python on Twitter: @talkpython
Follow Michael on Twitter: @mkennedy
Sponsors
Sentry Error Monitoring, Code TALKPYTHON
Stack Overflow
Talk Python Training
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
--- Stay in touch with us ---
Subscribe on YouTube: youtube.com
Follow Talk Python on Twitter: @talkpython
Follow Michael on Twitter: @mkennedy
Sponsors
Sentry Error Monitoring, Code TALKPYTHON
Stack Overflow
Talk Python Training