Question 1

What is the purpose of recommender systems in college education?

Accepted Answer

To suggest relevant courses or study materials

Answer

To monitor student behavior

Answer

To schedule exams

Answer

To track student attendance

Question 2

What is machine learning?

Accepted Answer

A branch of artificial intelligence where computer systems learn and improve from experience without explicit programming.

Answer

A technique used to secure computer networks.

Answer

A type of computer programming language.

Answer

A method for creating virtual reality environments.

Question 3

What is supervised learning in machine learning?

Accepted Answer

A learning algorithm that learns from labeled training data to make predictions or decisions.

Answer

A learning algorithm that learns from unlabeled training data to make predictions or decisions.

Answer

A learning algorithm that uses reinforcement to improve its performance.

Answer

A learning algorithm that requires human intervention to function.

Question 4

What is the difference between classification and regression in machine learning?

Accepted Answer

Classification is used to predict discrete class labels, while regression is used to predict continuous numerical values.

Answer

Classification and regression are essentially the same, just different names.

Answer

Classification is used to predict continuous numerical values, while regression is used to predict discrete class labels.

Answer

Classification is used for unsupervised learning, while regression is used for supervised learning.

Question 5

What is the difference between unsupervised learning and supervised learning in machine learning?

Accepted Answer

Supervised learning uses labeled data to make predictions, while unsupervised learning finds patterns or relationships in unlabeled data.

Answer

Supervised learning finds patterns or relationships in unlabeled data, while unsupervised learning uses labeled data to make predictions.

Answer

Unsupervised learning is only used for classification tasks, while supervised learning is only used for regression tasks.

Answer

Supervised learning requires human intervention to function, while unsupervised learning does not.

Question 6

What is unsupervised learning?

Accepted Answer

A type of machine learning where the algorithm learns from unlabeled data

Answer

A method used to secure computer networks

Answer

A type of machine learning where the algorithm learns from labeled data

Answer

A technique to store and retrieve information from databases

Question 7

What is the purpose of feature extraction in machine learning?

Accepted Answer

To transform raw data into a set of meaningful features

Answer

To make predictions based on historical data

Answer

To optimize the hyperparameters of the model

Answer

To train the model on labeled data

Question 8

Which of the following is an example of a supervised learning algorithm?

Accepted Answer

Random Forest

Answer

Principal Component Analysis

Answer

K-means Clustering

Answer

DBSCAN

Question 9

Which of the following is an application of machine learning in real time?

Accepted Answer

Recommendation systems

Answer

Optical character recognition

Answer

Speech recognition

Answer

Sentiment analysis

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