Hacker News
- Scaling Machine Learning at Uber with Michelangelo https://eng.uber.com/scaling-michelangelo/ 59 comments
Linking pages
- MLOps guide https://huyenchip.com/mlops/ 3 comments
- The 7 Questions You Need to Ask to Operate Deep Learning Infrastructure at Scale — James Le https://jameskle.com/writes/deep-learning-infrastructure-tooling 1 comment
- GitHub - 1duo/awesome-ai-infrastructures: Infrastructures™ for Machine Learning Training/Inference in Production. https://github.com/1duo/awesome-ai-infrastructures 1 comment
- Blog: The Data Platform for Machine Learning - Tecton https://www.tecton.ai/blog/data-platform-ml/ 0 comments
- The Journey from Deep Learning Experimentation to Production-Ready Model Building 🤓 | by Fredrik Rönnlund | Towards Data Science https://towardsdatascience.com/the-journey-from-deep-learning-experimentation-to-production-ready-model-building-d9fe294d6be6 0 comments
- Most impactful AI trends of 2018: the rise of ML Engineering | by Emmanuel Ameisen | Medium https://medium.com/@emmanuelameisen/most-impactful-a-i-trends-of-2018-the-rise-of-ml-engineering-4b1c704f263c 0 comments
- Towards MLOps: Technical capabilities of a Machine Learning platform | by Theofilos Papapanagiotou | Prosus AI Tech Blog | Medium https://medium.com/prosus-ai-tech-blog/towards-mlops-technical-capabilities-of-a-machine-learning-platform-61f504e3e281 0 comments
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