Computers That Learn from Data

Traditional software follows rules that programmers write. Machine learning flips this: instead of coding rules, you feed the computer examples and it discovers the rules itself.

This approach works because real-world patterns are too complex for humans to code. How would you write rules to distinguish a husky from a wolf? Turns out, many early ML models learned the shortcut: wolves appeared in snowy backgrounds, huskies did not.