machine learning

2.4 Machine Learning vs Traditional Programming

Comparison diagram showing Traditional Programming (Rules + Data = Answers) versus Machine Learning (Data + Answers = Rules)

Traditional Programming:

  • Human writes rules
  • Computer follows them
  • Cannot adapt
  • Fails when data is messy

Machine Learning:

  • Machine learns rules from examples
  • Automatically improves
  • Adapts to new data
  • Handles complexity better

Simplified:

  • Traditional: IF condition A THEN do B
  • Machine Learning: Learn A → B pattern from data

This is why ML is used today for complex tasks like:

  • Vision
  • Speech
  • Translation
  • Predictions

In the context of Machine Learning vs. Traditional Programming, what is the output of the ML process?

Previous Lesson 2.3 A Brief History of Machine Learning Next Lesson 2.5 Why Machine Learning Works
🚀