MACHINE LEARNING TERMINOLOGY

What are the main types of machine learning?

• Supervised learning + Automated Learning

• Supervised learning + Unsupervised learning

• Super learning + Unsupervised learning

• Automated Learning + Unsupervised learning

What is the difference between regression + classification?

• Regression analyses a straight line and classification separates them into groups.

• Classification analyses a straight line and regression analyses separates them into groups.

• Regression looks at past data and classification separates it into groups.

• Regression looks at future data and classification guesses the outputs.

Which type of learning uses CLUSTERING?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• Deep learning

What is a feature?

• Output

• Input

• Regression technique

• Classification technique

What is a label?

• Output

• Input

• Regression technique

• Classification technique

What is continuous data?

• Data that has finite data samples.

• Data that has numerical numbers only.

• Data that can't be analysed.

• Data that has infinite data samples.

What is discrete data?

• Data that has finite data samples.

• Data that has numerical numbers only.

• Data that can't be analysed.

• Data that has infinite data samples.

How do we describe ordinal data?

• Data that is grouped together.

• Data that has categories though is also ranked.

• Data that has categories only.

• Data that is grouped together. only.