Submitted by diffusion-xgb t3_ysc7gs in MachineLearning
milkteaoppa t1_ivzuwzg wrote
Most ML use cases are R&D and improvements to existing performance. When funding issue comes, ML can be cut and replaced with heuristic rules with a trade off in reduced performance.
Unless you're working in a very niche ML application, you're not really needed to keep a company operational
visarga t1_ivzy68m wrote
> ML can be cut and replaced with heuristic rules with a trade off in reduced performance.
Then it all depends on what was more expensive - the ML team or the trade-off.
Viewing a single comment thread. View all comments