🐱 Machine learning: learning from examples
Unit 1 · How machines learn · 10 min
To teach a computer cats vs dogs, give it thousands of photos labelled “cat/dog” (training data). The model guesses, checks, adjusts, again and again, until it is accurate. Then test it on photos it has never seen. More varied data means a more reliable model; biased data means a biased model.
Words in this lesson
- model — model
- training data — training data
- bias — bias
Project: Be a human model: collect 10 different leaves, invent a rule that splits them into two groups, then have a friend sort new leaves with your rule and check how well it works.