#productdatascience — Public Fediverse posts

👉🏻 It is a truth universally acknowledged, that a data scientist in possession of a trained model, must be in want of a reliable means of productionization and deployment.

👣 And the journey of a thousand pipelines starts with...
knowing how to appropriately package your models from the get-go. 📦

This blog post is for you: https://medium.com/kitchen-sink-data-science/software-fundamentals-for-machine-learning-series-understanding-the-why-of-vms-containers-89621cf66d23?source=friends_link&sk=4b4a9f37c1f609db2addbeb6fa219fb8&utm_content=buffer8c348&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

#mlops #mleng #productionml #datascience #productdatascience

👉🏻 It is a truth universally acknowledged, that a data scientist in possession of a trained model, must be in want of a reliable means of productionization and deployment.

👣 And the journey of a thousand pipelines starts with...
knowing how to appropriately package your models from the get-go. 📦

This blog post is for you: https://medium.com/kitchen-sink-data-science/software-fundamentals-for-machine-learning-series-understanding-the-why-of-vms-containers-89621cf66d23?source=friends_link&sk=4b4a9f37c1f609db2addbeb6fa219fb8&utm_content=buffer8c348&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

#mlops #mleng #productionml #datascience #productdatascience

👉🏻 It is a truth universally acknowledged, that a data scientist in possession of a trained model, must be in want of a reliable means of productionization and deployment.

👣 And the journey of a thousand pipelines starts with...
knowing how to appropriately package your models from the get-go. 📦

This blog post is for you: https://medium.com/kitchen-sink-data-science/software-fundamentals-for-machine-learning-series-understanding-the-why-of-vms-containers-89621cf66d23?source=friends_link&sk=4b4a9f37c1f609db2addbeb6fa219fb8&utm_content=buffer8c348&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

#mlops #mleng #productionml #datascience #productdatascience

👉🏻 It is a truth universally acknowledged, that a data scientist in possession of a trained model, must be in want of a reliable means of productionization and deployment.

👣 And the journey of a thousand pipelines starts with...
knowing how to appropriately package your models from the get-go. 📦

This blog post is for you: https://medium.com/kitchen-sink-data-science/software-fundamentals-for-machine-learning-series-understanding-the-why-of-vms-containers-89621cf66d23?source=friends_link&sk=4b4a9f37c1f609db2addbeb6fa219fb8&utm_content=buffer8c348&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

#mlops #mleng #productionml #datascience #productdatascience

👉🏻 It is a truth universally acknowledged, that a data scientist in possession of a trained model, must be in want of a reliable means of productionization and deployment.

👣 And the journey of a thousand pipelines starts with...
knowing how to appropriately package your models from the get-go. 📦

This blog post is for you: https://medium.com/kitchen-sink-data-science/software-fundamentals-for-machine-learning-series-understanding-the-why-of-vms-containers-89621cf66d23?source=friends_link&sk=4b4a9f37c1f609db2addbeb6fa219fb8&utm_content=buffer8c348&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

#mlops #mleng #productionml #datascience #productdatascience