Introduction to Machine Learning

• So what is Machine Learning (ML)? It is a part of Artificial Intelligence (AI) that builds systems which can learn from data and improve over time, without being explicitly programmed for every rule.
• ML uses past data to make predictions or decisions on new, unseen data.

How It Works

Think of it like teaching a computer with examples. Instead of writing every rule, we give it past data, and it figures out the rules by itself.

Different Ways Machines Can Learn

• So far, we’ve seen that machines can find patterns in data. But here’s an interesting question:
• Do all problems look the same?
• Will a machine always learn in the same way?
  • The answer is No. Just like humans, machines also have different ways of learning, depending on what kind of information they get.

Imagine three kids trying to learn something new:

• Kid A learns best when a teacher gives the question and the correct answer.
• Kid B has no teacher, but loves grouping things that “look alike.”
• Kid C learns by trying things out and improving from mistakes.

They all learn differently. But which style belongs to machine learning?

Supervised Learning

• Remember Kid A from our analogy? They had a teacher correcting them after every attempt. That’s exactly what Supervised Learning is in machine learning.