Supervised vs Unsupervised Machine Learning Flashcards
(9 cards)
1
Q
Which machine learning algorithms exist?
A
- supervised learning
- unsupervised learning
- recommender systems
- reinforcement learning
2
Q
What is supervised learning
A
- learn x to y output mappings
- learns from being given “right answers”
- learns to predict the output from a given input
3
Q
What are examples for supervised learning?
A
- email -> spam (0/1) : spam filtering
- audio -> text transscripts : speech recognition
- english -> translation: machine translation
- ad, user info -> click (0/1): online advertising
4
Q
What is an example for Regression?
A
- predicting a number
- from infinitely many possible outputs
- i.e. predicting the price for a house based on other house prices
5
Q
What are basic types of Supervised Learning?
A
- Regression
- Classification
6
Q
What is an example for Classification?
A
- Breast cancer detection
- predict categories (cat or dog)
- predict only a small number of possible outputs
- categories can also be numbers
7
Q
How are Classification and Regression different?
A
- classification only tries to predict to a small number of possible outputs, limited set
- regression tries to predict from a infinitely output categories
8
Q
What is unsupervised learning?
A
- 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
9
Q
What are types of unsupervised learning
A
- clustering algorithm -> group similiar data points together
- anomaly detection -> find unusual data points
- dimensionality reduction -> compress data using fewer numbers
