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  1. MLOps

MLOps

Using AntiPatterns to avoid MLOps Mistakes

https://aiden-jeon.github.io/post/tech/mlops/antipatterns_for_mlops/?fbclid=IwAR3CTs0pni8Rf-PEEAbLGRaCxTeR7O3pMxrPh30S-Vql9RVtPja0MjFNzc4aiden-jeon.github.io
LogoUsing AntiPatterns to avoid MLOps MistakesarXiv.org

CI/CD for ML Online Serving and Models (Uber)

https://eng.uber.com/continuous-integration-deployment-ml/?fbclid=IwAR2He_5BZWLceI_NKVZRxLgw0ETzFC5xPXh-rvk8Q1LBuyHDOvOOX3Rw0T0eng.uber.com

Machine Learning Engineering for Production

Panel discussion introducing a new specialization for MLOps

MLOps KR Seminar

Practical MLOps eBook

Translated in Korean

Logo(์™ธ๋ถ€๊ณต๊ฐœ) ์‹ค๋ฆฌ์ฝ˜๋ฐธ๋ฆฌ์˜ ML์˜ต์Šค - ๋จธ์‹ ๋Ÿฌ๋‹ ์„œ๋น„์Šค ๊ตฌ์ถ•์„ ์œ„ํ•œ ์‹ค์ „ ML์˜ต์Šค ๊ฐ€์ด๋“œ - Google DriveGoogle Drive

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Last updated 4 years ago

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  • Using AntiPatterns to avoid MLOps Mistakes
  • CI/CD for ML Online Serving and Models (Uber)
  • Machine Learning Engineering for Production
  • MLOps KR Seminar
  • Practical MLOps eBook

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