Foghlam faoi dhéidin a dhréanann múnla ar shamplaí lipéadaithe (ionchuir péireáilte le aschur ceart) ionas go bhfoghlaimíonn sé fothscéim a thuar d'ionchuir nua. Is é an cineál ML is coitianta é, agus úsáidtear é do rangú agus aischéimniú. Méadaíonn tuiscint a fháil air ar eolas ML.
Conas a oibríonn foghlam faoi dhéidin
TRAIN on LABELED data (input → known correct output):
1. collect a DATASET of examples with labels (e.g. emails labeled spam/not-spam)
2. split into TRAINING and TEST sets
3. the model learns to map inputs → outputs by minimizing prediction error on training data
4. EVALUATE on the test set (unseen data) → measure how well it generalizes
5. use the trained model to PREDICT outputs for new inputs (inference)
→ learn from examples with answers → predict answers for new cases
