Jump to content

MLOps: This is what you need to know to start out

Recommended Posts

In the advancement of the recent technology space, there have been some excitements in data science, deep learning, artificial intelligence, and big data. These advancements have led to the development of a dynamic ecosystem for data analysis. However, data analysis became more complicated as the data increased and there was the need to bring in new algorithms relating to machine learning to help data scientists have a better analyzing experience. MLOps was birthed from the development of these algorithms since it was required to deploy resources, version codebases, integrate data, and even test procedures. Since then, it has been widely used across several industries.

View the full article

Link to comment
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.

Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

  • Create New...