AI240: Introduction to Machine Learning in AI

FinestEiffelTower avatar
FinestEiffelTower
·
·
Download

Start Quiz

Study Flashcards

13 Questions

What is the term used to describe the process where an agent improves its performance after making observations about the world?

Machine Learning (ML)

Which type of learning involves algorithms that derive knowledge from data to make predictions and data-driven decisions?

Classification

What are the building blocks for successfully designing ML systems according to the text?

The three forms of learning and basic terminology

According to the text, what do we call it when a computer observes some data, builds a model based on the data, and uses the model as both a hypothesis about the world and a piece of software that can solve problems?

Machine Learning (ML)

What are the factors that the improvements and techniques of machine learning depend on?

The prior knowledge of the agent, the data available, and the model framework chosen

What type of learning allows us to make predictions about unseen or future data?

Supervised learning

What does 'supervised' refer to in supervised learning?

A set of samples where the desired output signals (Labels) are already known

What distinguishes Machine Learning (ML) when the agent is a computer, as mentioned in the text?

It builds a model based on observed data to solve problems

Which component of machine learning systems allows for the transformation of data into knowledge?

Neural network architectures

What do self-learning algorithms in machine learning aim to achieve?

Generalizing from observed data to make accurate predictions

Which type of learning involves algorithms that derive knowledge from data to make predictions and data-driven decisions?

Supervised learning

What term is used to describe the process where an agent improves its performance after making observations about the world?

Reinforcement learning

What does 'supervised' refer to in supervised learning?

Training with human supervision

Test your knowledge of the general concepts of machine learning, the three forms of learning, basic terminology, classification, naive Bayes, perceptrons, clustering, and K-means. This quiz is based on the outlined topics from the 'Introduction to Artificial Intelligence' chapter A1 of the course AI240 at the Department of Computer Science.

Make Your Own Quizzes and Flashcards

Convert your notes into interactive study material.

Get started for free
Use Quizgecko on...
Browser
Browser