Supervised vs Unsupervised Machine Learning

Question 1

Which machine learning algorithms exist?

Answer 1

• supervised learning
• unsupervised learning
• recommender systems
• reinforcement learning

Question 2

What is supervised learning

Answer 2

• learn x to y output mappings
• learns from being given “right answers”
• learns to predict the output from a given input

Question 3

What are examples for supervised learning?

Answer 3

• email -> spam (0/1) : spam filtering
• audio -> text transscripts : speech recognition
• english -> translation: machine translation
• ad, user info -> click (0/1): online advertising

Question 4

What is an example for Regression?

Answer 4

• predicting a number
• from infinitely many possible outputs
• i.e. predicting the price for a house based on other house prices

Question 5

What are basic types of Supervised Learning?

Answer 5

• Regression
• Classification

Question 6

What is an example for Classification?

Answer 6

• Breast cancer detection
• predict categories (cat or dog)
• predict only a small number of possible outputs
• categories can also be numbers

Question 7

How are Classification and Regression different?

Answer 7

• classification only tries to predict to a small number of possible outputs, limited set
• regression tries to predict from a infinitely output categories

Question 8

What is unsupervised learning?

Answer 8

• data only comes with inputs x but not output labels y
• find something interesting in unlabeled data
• or what patterns and structures might be in the data

Question 9

What are types of unsupervised learning

Answer 9

• clustering algorithm -> group similiar data points together
• anomaly detection -> find unusual data points
• dimensionality reduction -> compress data using fewer numbers