Course Content
C7: Introduction to AI – Understanding How Machines Learn

1. How Humans Think

Humans use their brains, which combine:

  • Memory (past experiences)

  • Logic (reasoning and judgment)

  • Creativity (imagination)

  • Emotion (feelings)

Example:
If your friend is sad, you can notice their expression, feel empathy, and choose kind words.
Machines can’t feel empathy — they can only recognize a sad face from data.

2. How Machines Think

Machines or AI systems use algorithms and data to make decisions.
They don’t understand feelings or meanings — they just detect patterns.

Example:
An AI camera recognizes a “smile” because it has seen thousands of smiling faces before.
It doesn’t know why you’re smiling — only that you are.

3. Strengths and Limits

Area

Humans

AI/Machines

Speed

Slow at calculations

Very fast

Creativity

Highly creative

Limited, copies patterns

Learning

Learns from experience and mistakes

Learns from data and examples

Emotion

Has feelings and empathy

No feelings

Decision-Making

Can use ethics and emotions

Uses logic and data only

Accuracy

Can make errors

Very precise (if data is correct)

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