Notes

Machine learning as training a program to predict from similar data: examples, features, labels, and models.

Machine learning: training a computer program to make appropriate predictions using similar data.

• Example — a particular instance of data; a sample.
• Features — attributes of the example.
• Labels — the target we are trying to predict.
• Unlabeled example.
• Model — one that connects previous data — unlabeled with labels.
• Framing.