Three ways a machine can learn
An AI learns from data, the examples it is given. It can learn in three ways.
Step 1 of 3
- Supervised: photos already labelled ripe or unripe.
- Unsupervised: photos with no labels. It finds its own groups.
- Reinforcement: it tries, gets a score, tries again.
Supervised learning has labels. Unsupervised has none. Reinforcement learns from rewards.
A label is the right answer on an example. Some data has labels. Some has none. Without labels, an AI finds groups by itself. With rewards, an AI gets a score for a good try.
Read each case. Pick the way of learning.
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