Regression Flashcards
1
Q
What are the 3 different kinds of machine learning?
A
Supervised
Unsupervised
Reinforcement
2
Q
Supervised learning
A
Giving the input and the correct output to match
For example image of cat and “cat”
3
Q
Unsupervised learning
A
Giving inputs and no feedback and expect it to learn
4
Q
Reinforcement learning
A
Non-immediate feedback learning like chess it doesn’t know what happens after. Like trial and error
5
Q
What is a linear regression model?
A
relationship between independent and dependent variables for line of best fit
6
Q
Negatives of linear regression
A
Data is not often linear
Heavily affected by outliers
7
Q
The independent variable is known as the
A
predictor
8
Q
The equation for two predictor variables in a linear regression is
A
y = m1x1 + m2x2 + b
