What is the difference between a computer program and a Machine Learning model?

Traditional programs follow fixed rules written by programmers, while ML models learn flexible patterns from data and adapt their behavior.\n\n• Traditional Program: Fixed logic, explicit rules, same output for same input\n• ML Model: Learned patterns, adapts to data, improves with experience\n• Creation: Programs are coded, models are trained\n• Flexibility: Programs need updates for new scenarios, models learn automatically\n\nExample: Calculator program always adds 2+2=4 (fixed rule). ML model for house prices learns from market data and adjusts predictions based on new trends, location changes, and economic factors.