Distributed ML Ops
Rating: 10 out of 10
IncentivizedUse Cases and Deployment Scope
Distributed Machine Learning Operations is very important for delivering Machine Learning Projects to our customers.
Pros
- Helps us to take on more client projects
- Can be used by data analysts as well as casual users
Cons
- Out of the box support for major cloud vendors
Likelihood to Recommend
Works well if you have to involve different roles in different organizations in a project. Less suited when you have a complex system of custom developed tools
HH
Hans-Michael Hauser
Founder & CEO in Corporate at ML Insights AG (1-10 employees)
Vetted Review
1 year of experience