Understanding Machine Learning Concepts

What is the primary function of machine learning algorithms?

(make sure to finish the video before continuing)

• To store and organise data

• To make predictions and decisions based on data

• To display data in a user-friendly format

• To increase the speed of data processing

What is a classifier in the context of machine learning?

• A type of computer hardware

• An algorithm that decides between different categories

• A storage device for data

• A programming language

What are features in machine learning?

• The physical appearance of a computer

• Values that characterise the things we wish to classify

• The speed at which a computer processes data

• The brand of a computer

What is the purpose of a confusion matrix?

• To store data

• To show where a classifier gets things right and wrong

• To increase the speed of data processing

• To display data in a user-friendly format

What is a decision boundary in machine learning?

• A line that separates different categories in a decision space

• A type of computer hardware

• A programming language

• A storage device for data

What is a decision tree?

• A type of computer hardware

• A method of dividing decision space into boxes

• A programming language

• A storage device for data

What is a forest in the context of machine learning?

• A collection of decision trees working together

• A type of computer hardware

• A programming language

• A storage device for data

What is the role of artificial neurons in a neural network?

• To store data

• To process and transmit messages using numbers

• To increase the speed of data processing

• To display data in a user-friendly format

What is the input layer in a neural network?

• The layer that provides data for classification

• The layer that stores data

• The layer that increases the speed of data processing

• The layer that displays data in a user-friendly format

What is the output layer in a neural network?

• The layer that stores data

• The layer that provides the classification decision

• The layer that increases the speed of data processing

• The layer that displays data in a user-friendly format