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A bus board guesses arrival times. A traffic signal follows a timer. Are they the same kind of machine?

No. The bus board learned from past trips. The signal follows a rule a person wrote.

This is AI Literacy II: Training and Decision Trees. It uses ideas of classification and kinds of data.

What you will learn

• Both at once. A rule and a learned part together.
• Training. One way to train: show examples with answers on them.
• Build a tree. A chain of yes/no questions sorts things.
• What it learned from. Pictures, words or tables.
• Trace the mistake. A wrong answer has a cause you can find.

Need a quick recap?

• What AI means — learning from examples, not a written rule.
• Three ways to learn — supervised, unsupervised, reinforcement.
• Groups — sorting things by what they share.
• Rows and columns — one row per thing, one column per fact.