Labeled, Unlabeled, Structured

Question 1

What is Labeled Data?

Answer 1

Data that includes both inputs and known outputs

An image of a cat label “cat”

Question 2

What is unlabelled data?

Answer 2

Data that contain input but no known outputs or categories.

A folder of image with no tags or label

Question 3

What is Structured data?

Answer 3

Organised in a clear, tabular format

A spreadsheet of sales data with columns for name, date, and amount.

Question 4

What is Unstructured Data?

Answer 4

Data that doesn’t have a predefined format.

Emails, social media post, videos, image

Question 5

How does unsupervised learning use data?

Answer 5

It work with unlabelled data to find patterns, clusters, or relationship on it own without human provided answers.

Question 6

Why is unsupervised learning valuable?

Answer 6

No need for labeled dataset
Help discover hidden patterns or grouping in big, messy database

Question 7

Real world example for these (1)

Answer 7

Customer segmentation
- business group customer based on buying behaviour to tailor marketing even if customer were never label manually

Question 8

Real world example for these (2)

Answer 8

Topic detection in social media
- ML models analyse tweets or post to group them by topic or theme