Machine Learning is the AI lane for model development and applied ML topics that are broader than the more specific AI subcategories.
Use this category for:
- applied machine learning beyond a narrower AI subcategory
- training, inference, datasets, and model tradeoffs
- classical and modern ML workflows in practice
Good topics here:
- model-building workflows
- dataset and training tradeoffs
- applied ML techniques in real systems
If your topic is broader than this subcategory, use AI instead.