What is MLOps?
MLOps is a collection of strategies that automate the machine learning process, connecting model creation, development, and operations. It uses DevOps principles with machine learning to prevent issues in your machine learning projects. MLOps solutions are a set of smart ways that mix machine learning and DevOps solutions. It helps quickly put ML models into action and deliver updates to clients faster, just like DevOps best practices for software features.
MLOps is a collection of strategies that automate the machine learning process, connecting model creation, development, and operations. It uses DevOps principles with machine learning to prevent issues in your machine learning projects. MLOps solutions are a set of smart ways that mix machine learning and DevOps solutions. It helps quickly put ML models into action and deliver updates to clients faster, just like DevOps best practices for software features.
How MLOps work?
The MLOps lifecycle or workflow includes these steps:
Extracting Data
Analyzing Data
Preparing Data
Training the Model
Evaluating the Model
Validating the Model
Serving & Monitoring
The MLOps lifecycle or workflow includes these steps:
Extracting Data
Analyzing Data
Preparing Data
Training the Model
Evaluating the Model
Validating the Model
Serving & Monitoring
Cloud-first is not enough: Five best practices for a cloud-smart journey:
https://siliconangle.com/2020/08/07/cloud-first-not-enough-five-best-practices-cloud-smart-journey/
https://siliconangle.com/2020/08/07/cloud-first-not-enough-five-best-practices-cloud-smart-journey/