Artificial Intelligence Machine Learning Fundamentals

Question 1

Which type of machine learning uses labeled training data to learn a mapping from inputs to outputs?

Accepted Answer

Supervised learning

Answer

Unsupervised learning

Answer

Reinforcement learning

Answer

Semi-supervised learning

Question 2

What is the term for a model that performs well on training data but poorly on new data?

Accepted Answer

Overfitting

Answer

Underfitting

Answer

Regularization

Answer

Generalization

Question 3

Which algorithm builds an ensemble of decision trees to improve prediction accuracy?

Accepted Answer

Random forest

Answer

Linear regression

Answer

K-means clustering

Answer

Naive Bayes

Question 4

What does the 'bias-variance tradeoff' describe in machine learning?

Accepted Answer

The balance between underfitting and overfitting

Answer

The tradeoff between model speed and accuracy

Answer

The tradeoff between training size and test size

Answer

The balance between precision and recall

Question 5

Which metric is most appropriate when false negatives are more costly than false positives?

Accepted Answer

Recall

Answer

Precision

Answer

Accuracy

Answer

Specificity

Question 6

What is k-fold cross-validation used for in machine learning?

Accepted Answer

Estimating model performance on unseen data

Answer

Selecting the number of clusters

Answer

Reducing dimensionality of features

Answer

Normalizing input features