Artificial Intelligence Machine Learning 2

Question 1

Which algorithm is a non-parametric method that classifies new points based on the majority class of their nearest neighbors?

Accepted Answer

K-Nearest Neighbors

Answer

Linear Regression

Answer

Naive Bayes

Answer

Support Vector Machine

Question 2

What is cross-validation used for in machine learning?

Accepted Answer

To estimate model performance on unseen data

Answer

To increase dataset size

Answer

To speed up model training

Answer

To encode categorical features

Question 3

Which ensemble method builds multiple decision trees and averages their predictions?

Accepted Answer

Random Forest

Answer

AdaBoost

Answer

Logistic Regression

Answer

Naive Bayes

Question 4

What is 'feature engineering' in the machine learning pipeline?

Accepted Answer

Creating or transforming input variables to improve model performance

Answer

Selecting the best model architecture

Answer

Evaluating model accuracy on test data

Answer

Splitting data into train and test sets

Question 5

Which gradient boosting library is widely used in US industry competitions and known for speed?

Accepted Answer

XGBoost

Answer

TensorFlow

Answer

PyTorch

Answer

Scikit-learn

Question 6

What does 'learning rate' control in gradient descent optimization?

Accepted Answer

The step size taken in the direction of the negative gradient

Answer

The number of training epochs

Answer

The proportion of data used per batch

Answer

The depth of the neural network