ICT358W4

What is AI primarily considered as?

• A discipline like Math, Biology
• A subfield of computer science
• A type of software
• A branch of philosophy

What does ML focus on?

• Developing new computer hardware
• Using data and algorithms to simulate human learning
• Creating virtual reality environments
• Improving internet speeds

What is the fundamental idea of ML?

• To replace human workers with robots
• To use data from past observations to predict unknown outcomes
• To improve computer processing speeds
• To develop new programming languages

What is a machine learning model?

• A type of computer processor
• A set of programming instructions
• A piece of software computing output values based on input values
• A new form of computer memory

What aligns well with the principles of metaheuristic algorithms?

• The process of training in ML
• The development of AI ethics
• The creation of new computer languages
• The design of computer hardware

What does supervised learning in ML focus on?

• Learning from past examples to predict future values
• Discovering new algorithms
• Improving hardware efficiency
• Developing virtual assistants

What is a key aspect of unsupervised learning in ML?

• Predicting future trends
• Looking at raw data to see if it naturally falls into groups
• Direct human supervision of learning processes
• Focusing on a single, specific task

What is regression in ML?

• A form of unsupervised learning predicting numeric values
• A form of supervised learning predicting numeric values
• A process of decreasing the accuracy of models
• A method of categorizing data into discrete classes

What does classification in supervised ML do?

• Predicts a numeric value
• Represents a categorization or class
• Groups data based on similarities
• Improves the speed of data processing

What is a characteristic of multiclass classification?

• It predicts a label representing one of two possible classes
• It involves predicting continuous numeric values
• It extends binary classification to predict one of multiple possible classes
• It groups data into clusters based on similarities