What is Machine Learning?

1

What is Machine Learning?

Data, features, and labels — the ML vocabulary

2

Pixels Are Numbers

Draw a digit, see what the model sees

3

Spot the Difference

Models see differences, not images

4

Dataset Shape

1,797 samples x 64 features

5

Useless Pixels

Zero-variance features

6

Class Balance

Not all classes are equal

7

Accuracy Trap

When 99% accuracy is a lie

8

Average Digits

Prototype confusion

9

Pixel Importance

Which features matter?

10

Model's Eye View

Just numbers in a row