Week 3 - Supervised Learning

Question 1

What is classification supervised learning?

Answer 1

A function is created that has 2 possible outputs.

Question 2

What is regression supervised learning?

Answer 2

A function is created that outputs a real number.

Question 3

What form does the data need to be in for supervised learning?

Answer 3

Input-output pairs

Question 4

How do you split up your data for supervised learning?

Answer 4

You use most of the data as training data, where you give the algorithm both the input and output. You then use a small amount of the data as test data, where you give the test algorithm an input and see what output it gives you.

Question 5

What is square loss?

Answer 5

The difference between a predicted output and the actual output, squared.

Question 6

What is a lost/cost function?

Answer 6

A function that when given a linear regression line and a set of data points, will output how well the line fits the data points.