Machine Learning Algorithms MCQs With Answers

Computer MCQs 360April 19, 2024

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Welcome to the Machine Learning Algorithms MCQs with Answers. In this post, we have shared Machine Learning Algorithms Online Test for different competitive exams. Find practice Machine Learning Algorithms Practice Questions with answers in Computer Tests exams here. Each question offers a chance to enhance your knowledge regarding Machine Learning Algorithms.

Machine Learning Algorithms Online Quiz

By presenting 3 options to choose from, Machine Learning Algorithms Quiz which cover a wide range of topics and levels of difficulty, making them adaptable to various learning objectives and preferences. You will have to read all the given answers of Machine Learning Algorithms Questions and Answers and click over the correct answer.

Test Name: Machine Learning Algorithms MCQ Quiz Practice
Type: Quiz Test
Total Questions: 40
Total Marks: 40
Time: 40 minutes

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Machine Learning Algorithms

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1 / 40

Which algorithm is used for semi-supervised learning and is based on combining labeled and unlabeled data for training?

Support Vector Machines

Naive Bayes

Label Propagation

2 / 40

Which algorithm is used for time series forecasting and is based on autoregressive moving average concepts?

Decision Trees

ARIMA

Naive Bayes

3 / 40

Which algorithm is used for predicting continuous values and is based on finding a line that best fits the data points?

Linear Regression

Decision Trees

Logistic Regression

4 / 40

Which algorithm is used for handling imbalanced datasets and is based on adjusting class weights during training?

Decision Trees

Support Vector Machines

Class Weight Adjustment

5 / 40

Which algorithm is used for collaborative filtering in recommendation systems and is based on item-item similarities?

Item-based Collaborative Filtering

Matrix Factorization

K-Means Clustering

6 / 40

Which algorithm is a probabilistic model commonly used for binary classification tasks?

K-Means Clustering

Random Forest

Logistic Regression

7 / 40

Which algorithm is used for nonlinear dimensionality reduction and is based on preserving pairwise distances between data points?

Decision Trees

Logistic Regression

t-Distributed Stochastic Neighbor Embedding (t-SNE)

8 / 40

Which algorithm is a sequence model commonly used for natural language processing tasks like language modeling and machine translation?

Random Forest

Support Vector Machines

Recurrent Neural Networks (RNNs)

9 / 40

Which algorithm is used for sentiment analysis and is based on understanding the context of words in a sentence?

Word2Vec

Long Short-Term Memory (LSTM)

Recurrent Neural Networks (RNNs)

10 / 40

Which algorithm is used for feature extraction in deep learning and is based on learning hierarchical representations?

Naive Bayes

Gradient Boosting

Autoencoders

11 / 40

Which algorithm is used for anomaly detection and is based on fitting a Gaussian distribution to the data?

Gaussian Mixture Models

Gaussian Naive Bayes

Random Forest

12 / 40

Which algorithm is a type of ensemble learning method that combines multiple decision trees to improve performance?

Linear Regression

Random Forest

K-Nearest Neighbors

13 / 40

Which algorithm is used for handling skewed data distributions and is based on logarithmic transformations?

Log Transformation

Support Vector Machines

Decision Trees

14 / 40

Which algorithm is used for anomaly detection and is based on density estimation?

K-Means Clustering

Support Vector Machines

Gaussian Mixture Models

15 / 40

Which algorithm is used for handling missing data and is based on imputing values using nearest neighbors?

K-Nearest Neighbors Imputation

Random Forest

Linear Regression

16 / 40

Which algorithm is used for learning non-linear decision boundaries and is based on kernel functions?

Logistic Regression

Support Vector Machines

Linear Regression

17 / 40

Which algorithm is used for classification and regression and is based on the principle of dividing the input space into regions?

Decision Trees

K-Nearest Neighbors

Support Vector Machines

18 / 40

Which algorithm is known for its ability to handle non-linear relationships through the use of kernels?

Decision Trees

Naive Bayes

Support Vector Machines

19 / 40

Which algorithm is a generative model used for unsupervised learning and is based on graphical models?

Linear Regression

Gaussian Mixture Models

Convolutional Neural Networks (CNNs)

20 / 40

Which algorithm aims to find a linear relationship between input features and output by minimizing the sum of squared errors?

Decision Trees

Logistic Regression

Linear Regression

21 / 40

Which algorithm is used for handling sequential data and is capable of learning long-term dependencies?

Long Short-Term Memory (LSTM)

K-Nearest Neighbors

Decision Trees

22 / 40

Which algorithm aims to minimize the variance of predictions by combining multiple weak learners sequentially?

Gradient Boosting

AdaBoost

Decision Trees

23 / 40

Which algorithm is used for text classification and is based on the probability of a document belonging to a particular category?

Gradient Boosting

Naive Bayes

Linear Regression

24 / 40

Which algorithm is based on the principle of finding centroids of clusters by minimizing within-cluster variance?

K-Means Clustering

Decision Trees

Logistic Regression

25 / 40

Which algorithm is used for forecasting future values based on time series data and is an extension of ARIMA?

Decision Trees

K-Nearest Neighbors

Seasonal ARIMA

26 / 40

Which algorithm is used for predicting probabilities in binary classification and is based on a sigmoid function?

Logistic Regression

Support Vector Machines

Decision Trees

27 / 40

Which algorithm is used for clustering high-dimensional data and is based on iterative optimization of cluster centroids?

K-Means Clustering

Linear Regression

Principal Component Analysis (PCA)

28 / 40

Which algorithm is used for image recognition and is based on hierarchical feature learning?

Convolutional Neural Networks (CNNs)

K-Nearest Neighbors

Support Vector Machines

29 / 40

Which algorithm is used for collaborative filtering in recommendation systems and is based on user-item interactions?

K-Means Clustering

Matrix Factorization

Gradient Boosting

30 / 40

Which algorithm is used for document clustering and topic modeling based on probabilistic inference?

Support Vector Machines

Latent Dirichlet Allocation (LDA)

K-Nearest Neighbors

31 / 40

Which algorithm is used for dimensionality reduction and seeks orthogonal components that capture the maximum variance in data?

Support Vector Machines

Decision Trees

Principal Component Analysis (PCA)

32 / 40

Which algorithm is used for clustering based on similarity measures such as distance?

Gradient Boosting

K-Means Clustering

Random Forest

33 / 40

Which algorithm is used for sequence-to-sequence learning and is effective for tasks like language translation?

AdaBoost

Support Vector Machines

Long Short-Term Memory (LSTM)

34 / 40

Which algorithm is a deep learning model that excels in image and speech recognition tasks?

Gradient Boosting

Convolutional Neural Networks (CNNs)

K-Means Clustering

35 / 40

Which algorithm is used for recommendation systems and is based on collaborative filtering?

Matrix Factorization

Logistic Regression

K-Nearest Neighbors

36 / 40

Which algorithm is used for learning hierarchical representations of data and is inspired by the human brain's structure?

Decision Trees

AdaBoost

Deep Belief Networks (DBNs)

37 / 40

Which algorithm is used for image segmentation and is based on clustering similar pixels together?

Support Vector Machines

K-Means Clustering

Convolutional Neural Networks (CNNs)

38 / 40

Which algorithm is used for ensemble learning and is based on iteratively combining weak classifiers?

AdaBoost

Principal Component Analysis (PCA)

Linear Regression

39 / 40

Which algorithm is used for reinforcement learning and is based on learning through rewards and punishments?

Principal Component Analysis (PCA)

Q-Learning

Logistic Regression

40 / 40

Which algorithm is a non-parametric method for classification and regression based on similarity to neighboring data points?

Decision Trees

Linear Regression

K-Nearest Neighbors

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Computer MCQs 360April 19, 2024

0 9 1 minute read