Prioritizing
How do you decide which machine learning projects to work on?
The project should have high impact, where cheap prediction is valuable for the complex parts of your business process.
The project should have high feasibility, which is driven by the data availability, accuracy requirements, and problem difficulty.
Here are 3 types of hard machine learning problems:
(1) The output is complex.
(2) Reliability is required.
(3) Generalization is expected.
Last updated 9 months ago