Linking pages
- The Data Science Workflow. Suppose you are starting a new data… | by Konstantin | Towards Data Science https://medium.com/@kt.era.ee/the-data-science-workflow-43859db0415 9 comments
- GitHub - ahkarami/Deep-Learning-in-Production: In this repository, I will share some useful notes and references about deploying deep learning-based models in production. https://github.com/ahkarami/Deep-Learning-in-Production 2 comments
- PyTorch or TensorFlow? – Awni Hannun – Writing About Machine Learning https://awni.github.io/pytorch-tensorflow/ 1 comment
- Transitioning from Academic Machine Learning to AI in Industry | by Jeremy Karnowski | Insight https://blog.insightdatascience.com/preparing-for-the-transition-to-applied-ai-8eaf53624079 0 comments
Linked pages
- TensorFlow http://tensorflow.org/ 440 comments
- Kubernetes https://kubernetes.io 206 comments
- gRPC https://grpc.io/ 107 comments
- Protocol Buffers | Google Developers https://developers.google.com/protocol-buffers/ 34 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- Vertex AI | Google Cloud https://cloud.google.com/ml/ 1 comment
- https://platformlab.stanford.edu/Seminar%20Talks/gRPC.pdf 0 comments
- Redirecting… http://tensorflow.github.io/serving/ 0 comments
- Google Developers Blog: TensorFlow Serving 1.0 https://developers.googleblog.com/2017/07/tensorflow-serving-10.html 0 comments
- Overview | Protocol Buffers Documentation https://developers.google.com/protocol-buffers/docs/overview 0 comments
- A/B testing - Wikipedia http://en.wikipedia.org/wiki/A/B_testing 0 comments
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