CodeHS Artificial Intelligence and Machine Learning Fundamentals 3

Question 1

What is 'bias' in the context of AI and machine learning ethics?

Accepted Answer

Systematic unfairness in model predictions caused by skewed or unrepresentative training data

Answer

Algorithmic bias occurs when a model produces systematically unfair outcomes because the training data reflects historical prejudices or lacks representation of certain groups.

Question 2

In CodeHS AI curriculum, what is natural language processing (NLP)?

Accepted Answer

A field of AI focused on enabling computers to understand, interpret, and generate human language

Answer

NLP is the branch of AI that deals with the interaction between computers and human language, enabling applications like chatbots, translation, and sentiment analysis.

Question 3

Which of the following is a real-world application of computer vision, a major AI subfield?

Accepted Answer

Detecting objects and pedestrians in self-driving car cameras

Answer

Computer vision enables machines to interpret visual information from cameras; self-driving cars rely on it to detect pedestrians, other vehicles, and road signs.

Question 4

What does the term 'hyperparameter' refer to in machine learning?

Accepted Answer

A configuration setting chosen before training that controls the learning process, such as learning rate

Answer

Hyperparameters are settings set before training begins (e.g., learning rate, number of layers) that control the training process, unlike model parameters which are learned from data.

Question 5

What is the function of the loss function in training a machine learning model?

Accepted Answer

It measures how far the model's predictions are from the true labels, guiding weight updates

Answer

The loss function quantifies the error between predictions and actual labels; minimizing it during training adjusts model weights to improve accuracy.

(CodeHS) Code High School Certifications Practice Test

(CodeHS) Code High School Certifications Practice Test

CodeHS Artificial Intelligence and Machine Learning Fundamentals 3