Data Digest: Machine Learning Hype, Supervised ML, Hybrid Architectures
Understanding the actual uses of machine learning, the purpose of supervised ML, and the reasons why some ML workloads might run better on premises.
- By Upside Staff
- August 9, 2022
The hype for machine learning means many people assume it is more broadly useful than it is.
Read more at Dark Reading
What are the best uses for supervised machine learning?
Read more at VentureBeat
After trying to run everything in the cloud, some enterprises find there are cost and connectivity benefits to bringing certain workloads back on premises.
Read more at Protocol