Coursera AI specialisation course 1

Question 1

What is supervised learning?

Answer 1

Supervised learning is where a machine learns through seeing input x mapped to input y.It is trained by showing an input
and the correct label aka output.After this is done the machine should use this learning algorithm to predict the output of an x it has never seen before

Question 2

What is a classification algorithm

Answer 2

Classification is a type of supervised machine learning that’s purpose is to predict categories of discrete data

Question 3

What is unsupervised learning?

Answer 3

This is when a program is given data without output labels and must try to find patterns in order to group the data together
Find structure in data

Question 4

What is regression?

Answer 4

This is a type of supervised learning which has to predict a numerical continuous data output and there are an infinite number of outputs to choose from

Question 5

What is clustering?

Answer 5

This is a form of unsupervised learning where the algorithm must try to group data into clusters without any supervision