CodeHS Artificial Intelligence and Machine Learning Fundamentals

Question 1

Which of the following best describes machine learning?

Accepted Answer

A subset of AI where systems learn patterns from data without being explicitly programmed

Answer

Machine learning is a subset of AI in which algorithms learn from data to improve performance on tasks without being explicitly programmed for each scenario.

Question 2

In a supervised learning model, what is the role of labeled training data?

Accepted Answer

It provides input-output pairs so the model can learn the mapping between them

Answer

Labeled training data pairs inputs with correct outputs, allowing the supervised learning algorithm to learn the relationship and generalize to new examples.

Question 3

What is the primary purpose of a neural network's activation function?

Accepted Answer

To introduce non-linearity so the network can learn complex patterns

Answer

Activation functions introduce non-linearity into neural networks, enabling them to learn and represent complex, non-linear relationships in data.

Question 4

Which machine learning approach is best suited for training an agent to play a video game by rewarding good moves?

Accepted Answer

Reinforcement learning

Answer

Reinforcement learning trains agents by providing rewards for desired actions and penalties for undesired ones, making it ideal for game-playing AI.

Question 5

What does 'overfitting' mean in the context of machine learning?

Accepted Answer

The model learns the training data too well, including noise, and fails to generalize

Answer

Overfitting occurs when a model memorizes training data noise and specifics, resulting in high training accuracy but poor performance on unseen data.

(CodeHS) Code High School Certifications Practice Test

(CodeHS) Code High School Certifications Practice Test

CodeHS Artificial Intelligence and Machine Learning Fundamentals