Adventures in Machine Learning
Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037
Laszlo Sragner joins the adventure to discuss how to make your machine learning approach production ready. The discussion ranges through code quality and how to build and manage your models to keep them production ready and delivering the outcomes you're looking for.
July 13, 2021
59:03
Episode 037
Hosted by
Special Guests
Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037
Adventures in Machine Learning
59:03
0:00
59:03
Speed:
Share This Episode
Show Notes
Laszlo Sragner joins the adventure to discuss how to make your machine learning approach production ready. The discussion ranges through code quality and how to build and manage your models to keep them production ready and delivering the outcomes you're looking for.
Panel
- Ben Wilson
- Charles Max Wood
- Francois Bertrand
Guest
- Laszlo Sragner
Sponsors
Links
- Laszlo's Newsletter
- How to solve Machine Learning problems for production? (Part 1)
- How to solve Machine Learning problems for production? (Part 2)
- Need for Speed: Why High Quality Code Matters in Data Science
- LinkedIn: Laszlo Sragner
Picks
- Ben- Laszlo's Newsletter
- Charles- The Ruthless Elimination of Hurry
- Charles- Atlas Shrugged
- Charles- Oathbringer
- Charles- Strava
- Francois- Audible
- Laszlo- Software Engineering at Google
- Laszlo- Move Fast and Break Things
Contact Ben:
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
Contact Charles:
Contact Francois: