Tradicionalno programiranje koristi eksplicitna pravila napisana od strane razvojnih inženjera, dok ML uči obrasce iz podataka. Fundamentalna razlika je što ML sustavi su obučeni na podacima umjesto programirani s pravilima — drugačija paradigma za rješavanje problema.
Fundamentalna razlika
TRADITIONAL PROGRAMMING → developers write explicit RULES (logic) →
RULES + INPUT → OUTPUT (the program follows the coded logic)
→ you specify exactly HOW to solve the problem (step by step)
MACHINE LEARNING → the system LEARNS rules/patterns from DATA →
DATA + EXAMPLES (input + output) → a trained MODEL → MODEL + INPUT → OUTPUT
→ you provide examples; the model learns the patterns (you don't code the logic)
→ programming: code the logic; ML: learn the logic from data
