Supervised & Unsupervised Learning

Machine learning in statistics: find hidden patterns in data
Supervised learning: learn from data but we have labels for all the data we’ve seen so far
Unsupervised learning: learn from data but we don’t have any labels
Data set: collection of data points that help us learn

Examples of supervised learning
1. Sorting if emails are spam
 a. Data set: all the emails sent to user
 b. Data point: single email
 c. Labels: spam / not spam

Examples of unsupervised learning
1. Sorting emails into topics
 a. If no labels are given, machine needs to intelligently sort it into different categories
2. Google News
3. Facebook trending stories