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Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037
About this Episode
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
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- Ben Wilson
- Charles Max Wood
- Francois Bertrand
- Laszlo Sragner
- 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
- 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
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
Hosts & Guests
No transcript available for this episode.
