How do you decide which machine learning projects to work on?
Prioritizing - ML Projects
- 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.