Tradicionalno programiranje uporablja eksplicitna pravila, napisana s strani razvojnih inženirjev, medtem ko se ML nauči vzorcev iz podatkov. Temeljna razlika je, da se sistemi ML trenirajo na podatkih, namesto da bi bili programirani s pravili — drugačen pristop k reševanju problemov.
Temeljna 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
