Shirye-shiryen tsari na gida suna amfani da ka'idoji masu bayani da masu bada shiri suka rubuta, yayin da ML ya koyi alamu daga bayanai. Bambantacciyar asali shine cewa sistemon ML ana horar da su akan bayanai maimakon a rubuta su da ka'idoji — halin da yawayi dabam don warware matsaloli.
Bambantacciyar asali
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
