Linking pages
- GitHub - visenger/awesome-mlops: A curated list of references for MLOps https://github.com/visenger/awesome-mlops 2 comments
- GitHub - kelvins/awesome-mlops: A curated list of awesome MLOps tools https://github.com/kelvins/awesome-mlops 0 comments
- Software 2.0 vs Software 1.0 - by Karim Fanous - Cumulative https://karimfanous.substack.com/p/software-20-vs-software-10 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
Linked pages
- Machine Learning: The High Interest Credit Card of Technical Debt â Google Research https://ai.google/research/pubs/pub43146 91 comments
- Cloud Computing Services | Google Cloud https://cloud.google.com 48 comments
- http://papers.nips.cc/paper/5656-hidden-technical-debt-in-machine-learning-systems.pdf 8 comments
- Rules of Machine Learning: | Google for Developers https://developers.google.com/machine-learning/guides/rules-of-ml#rule_14_starting_with_an_interpretable_model_makes_debugging_easier 1 comment
- Continuous integration - Wikipedia http://en.wikipedia.org/wiki/Continuous_integration#Software 0 comments
- One-hot - Wikipedia https://en.wikipedia.org/wiki/One-hot 0 comments
- Overfitting - Wikipedia http://en.wikipedia.org/wiki/Overfitting 0 comments
- Why Machine Learning Models Crash And Burn In Production https://www.forbes.com/sites/forbestechcouncil/2019/04/03/why-machine-learning-models-crash-and-burn-in-production/ 0 comments
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