IFN580 Week 1: Introduction (6%)

Question 1

What is the <P, T, E> framework in machine learning?

Answer 1

Improving performance, P, on task, T, from experience, E

Question 2

What are the four types of machine learning paradigms?

Answer 2

Supervised learning, Unsupervised learning, Semi-supervised learning and Reinforcement learning

Question 3

What is supervised learning?

Answer 3

A task-driven learning approach where the model is trained on labeled data to make predictions

Question 4

What is unsupervised learning?

Answer 4

A data-driven learning approach where the model must find patterns in unlabeled data

Question 5

What is semi-supervised learning?

Answer 5

A learning approach where both labeled and unlabeled data are used for training

Question 6

What is reinforcement learning?

Answer 6

Where an agent learns to act based on feedback

Question 7

What is classification in machine learning?

Answer 7

A supervised learning technique used to predict the correct labels for input data

Question 8

What is regression in machine learning?

Answer 8

A supervised learning technique used to predict numerical values

Question 9

What is clustering in machine learning?

Answer 9

An unsupervised learning technique where data points are organised into groups based on similarities