Artificial Intelligence Machine Learning 3

Question 1

What is the primary goal of unsupervised learning?

Accepted Answer

Discover hidden structure in unlabeled data

Answer

Predict a labeled output

Answer

Maximize a reward signal

Answer

Fine-tune a pre-trained model

Question 2

Which algorithm minimizes a cost function by iteratively updating model parameters using the gradient?

Accepted Answer

Gradient Descent

Answer

K-Means

Answer

Apriori

Answer

DBSCAN

Question 3

What is a confusion matrix used to evaluate?

Accepted Answer

Classification model performance across all classes

Answer

Regression model residuals

Answer

Clustering quality

Answer

Dimensionality reduction effectiveness

Question 4

In machine learning, what does 'hyperparameter tuning' refer to?

Accepted Answer

Selecting model parameters that are set before training

Answer

Adjusting weights during backpropagation

Answer

Normalizing the training dataset

Answer

Increasing the number of training samples

Question 5

What does PCA (Principal Component Analysis) accomplish?

Accepted Answer

Reduces dimensionality by projecting data onto principal components

Answer

Classifies data into clusters

Answer

Generates synthetic data samples

Answer

Removes outliers from a dataset

Question 6

Which type of machine learning problem involves predicting a continuous numeric value?

Accepted Answer

Regression

Answer

Classification

Answer

Clustering

Answer

Association