Machine Learning Ops Roundup
ml-opsWhy is machine learning in the real world hard and how do you make it better? This newsletter brings together the best articles, news, and papers highlighting the challenges and opportunities in MLOps
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 32 | Founded | 6 years ago | Last Issue | 3 years ago |
| Active | |||||
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mlopsroundup.substack.comLatest Issues
Issue #31: Refuel.ai. LLMs can label data better than humans. Autolabel.
Welcome to the 31st issue of the MLOps newsletter (hint: it’s a special one!).
Nihit and I have been busy building a company – Refuel.ai! We’re building a platform to clean, label and enrich datasets at human-level quality, using Large La...
Issue #30.5: Special Announcement - A new course on MLOps!
Welcome to the latest issue of the MLOps newsletter. In this special (mini) edition of the newsletter we have some exciting news to share!
MLOps: From Models to Production, a new course that @Nihit has been developing in partnership with...
Issue #30: ML Platforms. On Deck Data Science. Explainability in Healthcare. Re:Invent. ML for Content Moderation.
Happy New Year and welcome to the 30th issue of the MLOps newsletter. We have been on a bit of a hiatus from the newsletter (sorry that we can’t share the reasons just yet 😄), but will be back on a regular cadence now!
In this issue, we...
Issue #29: State of AI. Kaggle ML Survey. ML Deployment at Reddit. Inferentia.
Welcome to the 29th issue of the MLOps newsletter. This one is going to be fairly image-rich - hope you enjoy it! 🖼️
In this issue, we briefly cover the latest State of AI Report, look into the key trends from Kaggle’s Data Science and ML...
Issue #28: MAD Landscape. Covid-19 Border Testing. Blocking Spam@Slack. Applying ML. Scikit-learn 1.0.
Welcome to the 28th issue of the MLOps newsletter. We really enjoyed writing this one, hope you enjoy it too!
In this issue, we briefly cover Nihit’s interview with Eugene Yan, discuss Matt Turck’s ML, AI, and Data landscape, share a cool...
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Why is ML in the real world difficult? This newsletter brings together the best articles, news and papers. By @rish_bhargava and @nihit_desai.
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