Computing & AI Class 7
AI Literacy II: Training and Decision Trees
Build a decision tree, train a rule, and trace a wrong answer back.
8 lessons · ~48 min total
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Lessons in this topic
- 0 Start here A roadmap: rule or learned, training, decision trees, kinds of data, tracing a mistake. · 3 min You are here
- 1 A written rule and a learned part, in one machine Some machines hold a written rule and a learned part together. · 6 min
- 2 Showing it examples that carry their answers One way to train: examples with answers on them. Guessing a group or a number. · 7 min
- 3 A chain of yes/no questions that sorts a pile A decision tree asks yes/no questions and sends each thing down a branch. · 7 min
- 4 What kind of examples did it learn from? Pictures, language or tables of numbers: what a machine was shown names its kind of work. · 7 min
- 5 Following a wrong answer back A wrong answer has an address. Follow the path to find the missing question. · 7 min
- 6 The big picture Five ideas: two machine parts, training, trees, kinds of data, tracing mistakes. · 4 min
- 7 Track quiz A cheat-sheet table, then twelve questions on the five ideas. · 7 min
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