Machine Learning - Overview - Challenges in Machine Learning Tutorial
1] Data Collection
2] Insufficient Data/Labelled Data
3] Non Representative Data
4] Poor Quality Data
5] Irrelevant Data (garbage in, garbage out)
6] Overfitting
7] Underfitting
8] Software Integration
9] Offline Learning/Deployment
10] Cost Involve