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AI Literacy II: Training and Decision Trees

The big picture

Here are the five ideas, in order.

AI Literacy II in five lines
IdeaRemember
Both at onceA machine can hold a written rule and a learned part.
TrainingLabelled examples carry answers. Showing many of them is one way to train. The rule is learned from the pile. When the pile changes, the rule changes.
A decision treeA chain of yes/no questions. Who chose them decides written or learned.
What it learned fromPictures, words or tables point to vision, NLP or data science.
Trace the mistakeThe path is the questions asked. A wrong answer is a missing question.

Ask what a machine was shown. Then ask who chose its rule.

Jump to lesson

This track

  1. 0 Start here
  2. 1 A written rule and a learned part, in one machine
  3. 2 Showing it examples that carry their answers
  4. 3 A chain of yes/no questions that sorts a pile
  5. 4 What kind of examples did it learn from?
  6. 5 Following a wrong answer back
  7. 6 The big picture
  8. 7 Track quiz

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