Machine Learning Algorithms MCQ Questions and Answers

Home

Competitive Exams

Aptitude English Verbal Reasoning Non Verbal Reasoning General Knowledge(GK) General Science(GS) Data Interpretation(DI) Banking Awareness Current Affairs

Computer & Programming

Computer Fundamentals Networking SQL Database C Programming C++ Programming Java Python

Other Subjects

Commerce Management Law Political Science Psychology Agriculture

Exam Categories

SSC Exams Railway Exams All Exams

Popular Exams

SSC CGL SSC CHSL SSC MTS Railway Group D RRB ALP RRB Technician RRB Section Controller

Engineering Subjects

Computer Science Electronics & Communication Mechanical Engineering Civil Engineering Electrical Engineering

More Engineering

Chemical Engineering Automobile Engineering Biotechnology Mining Engineering Geological Engineering

Engineering Core

Engineering Mathematics Engineering Physics Engineering Chemistry Metallurgical Engineering

Computer Fundamentals

Computer Fundamentals Networking Database SQL MySQL

Programming

C Programming C++ Programming Java Python PHP JavaScript

Advanced

Artificial Intelligence Machine Learning Data Science Cloud Computing Hadoop IoT

Graduation & PG

Commerce Management Law Mass Communication Political Science Psychology

Resources

Current Affairs Interview Blog

Each section contains 100 MCQs on Machine Learning Algorithms .

Which machine learning algorithm is commonly used for natural language processing (NLP) tasks like sentiment analysis?

A) Linear Regression B) Support Vector Machine (SVM) C) Naive Bayes D) Recurrent Neural Network (RNN)

Discuss

Answer & Solution

Answer: Option C

No explanation is given for this question. Let's Discuss on Board

What is the primary purpose of a k-nearest neighbors (KNN) algorithm in machine learning?

A) To build decision trees B) To classify data points based on neighbors C) To visualize data relationships D) To fit linear regression models

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

Which machine learning algorithm is used for dimensionality reduction and is particularly useful in image compression?

A) Principal Component Analysis (PCA) B) K-Means Clustering C) Decision Tree D) Naive Bayes

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

What is the primary goal of a neural network in machine learning?

A) To visualize data relationships B) To minimize the error between predicted and actual values C) To perform unsupervised learning D) To simulate the human brain's function

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

Which machine learning algorithm is commonly used for anomaly detection, such as detecting fraudulent credit card transactions?

A) Random Forest B) Decision Tree C) Support Vector Machine (SVM) D) Naive Bayes

Discuss

Answer & Solution

Answer: Option A

No explanation is given for this question. Let's Discuss on Board

Which machine learning algorithm is commonly used for image classification tasks and is based on convolutional neural networks (CNNs)?

A) Decision Tree B) Naive Bayes C) K-Means Clustering D) Convolutional Neural Network (CNN)

Discuss

Answer & Solution

Answer: Option D

No explanation is given for this question. Let's Discuss on Board

In machine learning, what is the term for the process of dividing a dataset into a training set and a testing set for model evaluation?

A) Data Sampling B) Data Cleaning C) Data Splitting D) Data Transformation

Discuss

Answer & Solution

Answer: Option C

No explanation is given for this question. Let's Discuss on Board

What is the primary goal of gradient boosting algorithms in machine learning?

A) To maximize the margin between classes B) To minimize prediction errors C) To perform unsupervised learning D) To visualize data relationships

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

Which machine learning algorithm is suitable for clustering data points into groups based on similarity?

A) Linear Regression B) Support Vector Machine (SVM) C) K-Means Clustering D) Principal Component Analysis (PCA)

Discuss

Answer & Solution

Answer: Option C

No explanation is given for this question. Let's Discuss on Board

In machine learning, what is the term for the process of transforming categorical data into numerical format for modeling?

A) Data Aggregation B) Data Encoding C) Data Normalization D) Data Imputation

Discuss

Answer & Solution

Answer: Option B

No explanation is given for this question. Let's Discuss on Board

1 2 3 4 5 6 7 8 9 10

Machine Learning Algorithms MCQ Questions and Answers | Data Science MCQs