Title: GitHub - SQLShark/DataScienceDevops: Hello. This is the repo for all the content relating to my session "Deploy models faster with Data Science DevOps". If you have attend this session before then you have my thanks. If you have any questions, or you need support. Please let me know. I am on a personal mission to educate Data Scientists on best-practices from engineering. When I interview Data Scientists I will ask them about a model they built which had a benefit. I will then ask how they deployed it. This is often met with black looks and hushed mentioned that either the model was never deployed or it was deployed by the data engineering team. Heed my advice learn how to deploy a model . It is not enough to be able to write models anymore. The unicorns are on the rise!
Open Graph Title: GitHub - SQLShark/DataScienceDevops: Hello. This is the repo for all the content relating to my session "Deploy models faster with Data Science DevOps". If you have attend this session before then you have my thanks. If you have any questions, or you need support. Please let me know. I am on a personal mission to educate Data Scientists on best-practices from engineering. When I interview Data Scientists I will ask them about a model they built which had a benefit. I will then ask how they deployed it. This is often met with black looks and hushed mentioned that either the model was never deployed or it was deployed by the data engineering team. Heed my advice learn how to deploy a model . It is not enough to be able to write models anymore. The unicorns are on the rise!
X Title: GitHub - SQLShark/DataScienceDevops: Hello. This is the repo for all the content relating to my session "Deploy models faster with Data Science DevOps". If you have attend this session before then you have my thanks. If you have any questions, or you need support. Please let me know. I am on a personal mission to educate Data Scientists on best-practices from engineering. When I interview Data Scientists I will ask them about a model they built which had a benefit. I will then ask how they deployed it. This is often met with black looks and hushed mentioned that either the model was never deployed or it was deployed by the data engineering team. Heed my advice learn how to deploy a model . It is not enough to be able to write models anymore. The unicorns are on the rise!
Description: Hello. This is the repo for all the content relating to my session "Deploy models faster with Data Science DevOps". If you have attend this session before then you have my thanks. If you have any questions, or you need support. Please let me know. I am on a personal mission to educate Data Scientists on best-practices from engineering. When I interview Data Scientists I will ask them about a model they built which had a benefit. I will then ask how they deployed it. This is often met with black looks and hushed mentioned that either the model was never deployed or it was deployed by the data engineering team. Heed my advice learn how to deploy a model . It is not enough to be able to write models anymore. The unicorns are on the rise! - SQLShark/DataScienceDevops
Open Graph Description: Hello. This is the repo for all the content relating to my session "Deploy models faster with Data Science DevOps". If you have attend this session before then you have my thanks. If you ...
X Description: Hello. This is the repo for all the content relating to my session "Deploy models faster with Data Science DevOps". If you have attend this session before then you have my thanks....
Mail addresses
tpm@adatis.co.uk
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