The MLOps Podcast
A podcast by Dean Pleban @ DagsHub
Categories:
32 Episodes
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๐ You Have Too Much Data with Dean Langsam
Published: 9/16/2022 -
๐ Reasonable Scale MLOps with Jacopo Tagliabue
Published: 8/22/2022 -
๐ฆพ Made With ML - Learning How to Apply MLOps with Goku Mohandas
Published: 7/18/2022 -
๐คนโโ๏ธ Building models that actually perform with Kyle Gallatin
Published: 6/20/2022 -
๐ฌ MLOps for NLP Systems with Charlene Chambliss
Published: 5/16/2022 -
๐งฉ Simplifying Complex Ideas with Yannic Kilcher
Published: 4/18/2022 -
๐ฅ Getting Data Scientists to Write Better Code with Laszlo Sragner
Published: 2/14/2022 -
๐ MLOps lessons learned helping companies build their ML systems with Lee Harper, Lead DS at Catapult
Published: 11/4/2021 -
๐ง Algorithmic challenges in bringing ML models into production with Roey Mechrez, CTO at BeyondMinds
Published: 9/20/2021 -
๐ค Feature stores and CI/CD for machine learning with Qwak.ai VP Engineering, Ran Romano
Published: 8/11/2021 -
๐ค Large ML models in production with HuggingFace CTO Julien Chaumond
Published: 7/4/2021 -
๐ฃ Finding your path in ML with NLP Engineer Urszula Czerwinska
Published: 4/27/2021
A podcast from DagsHub about bringing machine learning into the real world. Each episode features a conversation with top data science and machine learning practitioners, who'll share their thoughts, best practices, and tips for promoting machine learning to production