COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Both True
|
|
|
only S1 Ture
|
|
|
Both False
|
|
|
only S2 Ture
|
Detailed explanation-1: -DevOps and MLOps are both software development strategies which focus on collaboration between developers, operations, and data science. The difference between DevOps and MLOps is that DevOps focuses on application development whereas MLOps focuses on machine learning.
Detailed explanation-2: -In a nutshell, both DevOps and MLOps encourage and facilitate collaboration between people who develop (software engineers and data scientists), people who manage infrastructure, and other stakeholders. Both emphasize process automation in continuous development so that speed and efficiency are maximized.
Detailed explanation-3: -DevOps comes from software engineering concerning the development and operations of large-scale software production. MLOps, on the other hand, unites data collection, data preprocessing, data modeling, evaluation, product deployment, and re-training to a unified process.
Detailed explanation-4: -Development-DevOps pipelines focus on developing a new version of a software product, while MLOps focuses on delivering a working machine learning model.