Machine learning concept in Intro to Computing - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is machine learning?

Machine learning is a way for computers to learn from data and improve their performance without being told exactly what to do.

beginner

Name the three main types of machine learning.

The three main types are: supervised learning, unsupervised learning, and reinforcement learning.

beginner

What is supervised learning?

Supervised learning is when the computer learns from labeled data, meaning the answers are already known.

beginner

What is the role of a model in machine learning?

A model is like a recipe or a set of rules the computer creates to make predictions or decisions based on data.

beginner

Why is data important in machine learning?

Data is important because it teaches the computer what to learn from. Good data helps the model make better decisions.

Which type of machine learning uses labeled data?

A Supervised learning

B Unsupervised learning

C Reinforcement learning

D Deep learning

Supervised learning uses labeled data where the correct answers are provided.

What does a machine learning model do?

A Stores raw data

B Creates rules to make predictions

C Deletes data

D Runs computer hardware

A model creates rules or patterns from data to make predictions or decisions.

Which of these is NOT a main type of machine learning?

A Manual programming

B Supervised learning

C Reinforcement learning

D Unsupervised learning

Manual programming is not a type of machine learning.

Why is data important in machine learning?

A It powers the computer

B It slows down the process

C It teaches the model what to learn

D It is not important

Data teaches the model what patterns to find and how to make decisions.

What is unsupervised learning?

A Learning by copying humans

B Learning from labeled data

C Learning by trial and error

D Learning from data without labels

Unsupervised learning finds patterns in data without labeled answers.

Explain in your own words what machine learning is and why it is useful.

Think about how computers can learn like humans by seeing examples.

Describe the difference between supervised and unsupervised learning with simple examples.

Consider if the computer knows the answers beforehand or not.