Open mariyadavydova opened 4 years ago
If you need help on this let me know because we have had a few talks on the differences between devops and MLOps. I am thinking about writing a blog post on it and we can recycle the blog post for this? what do you think?
As for the What is MLOps question and where to start I think we can link to all these blogposts that have been shared around the topic and also clear up a few questions people tend to ask like
how much data science and ML should I know doing MLOps?
what are the main parts of the ML lifecycle and how does that fit into the bigger picture
where are some resources to start? what should i learn first
^^ we can talk about the different types of ppl coming to MLOps. SE Data scientist, data analyst. and talk about how it will be very much about architecture and there is a fair amount of coding
Talk about some common tools like Neu.ro :) <--- but maybe this should be a separate post?
I'm fine with the recent Google definition unless there are any objections, we can always modify it and make it more our own: "MLOps is an ML engineering culture and practice that aims at unifying ML system development (Dev) and ML system operations (Ops)."