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AI Literacy II: Training and Decision Trees

What kind of examples did it learn from?

A keyboard guesses your next word. A photo app finds faces. What did each learn from?

A keyboard learned from words.
Step 1 of 4
  1. A keyboard learned from words.
  2. A photo app learned from pictures.
  3. A sales tracker learned from a table of numbers.
  4. Each kind of example points to a kind of AI work.

The keyboard learned from words; the photo app learned from pictures.

Ask what a machine was shown. Pictures and video usually mean computer vision. Words and speech usually mean NLP. Tables of numbers usually mean data science.

Computer vision is AI that works from pictures and video. NLP is AI that works with human language, in words or speech. NLP stands for natural language processing. Data science studies a table of facts to see what repeats.

Pick the kind of work for each machine.

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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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