Quiz | Croma Campus

Which technique is used to handle missing data in a dataset?

Mean Imputation
Median Imputation
Mode Imputation
All of the above

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Which technique is used to measure the similarity between two documents?

Cosine Similarity
Euclidean Distance
Manhattan Distance
Jaccard Similarity

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What is the term used to describe the difference between predicted values and actual values in regression analysis?

Error
Loss
Residual
Deviance

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Which technique is used to evaluate the performance of a machine learning model?

Precision
Recall
F1 Score
All of the above

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Which technique is used to reduce the dimensionality of data while preserving its variance?

Principal Component Analysis (PCA)
Linear Discriminant Analysis (LDA)
Singular Value Decomposition (SVD)
All of the above

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Which approach in AI focuses on mimicking the evolutionary process to solve complex problems?

Expert Systems
Genetic Algorithms
Fuzzy Logic
Bayesian Networks

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What is the process of converting continuous data into a set of intervals or categories called?

Normalization
Categorization
Binarization
Discretization

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Which technique is used to understand and interpret human language by computers?

Sentiment Analysis
Natural Language Processing (NLP)
Machine Translation
Optical Character Recognition (OCR)

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What is the primary goal of Artificial Intelligence (AI)?

To replace human intelligence
To replicate human intelligence in machines
To automate all human tasks
To develop intelligent systems that can perform tasks that typically require human intelligence

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What is the main advantage of ensemble learning algorithms?

Reduced computational complexity
Improved predictive performance
Increased interpretability
Lower risk of overfitting

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Which technique is used to evaluate the importance of each feature in a machine learning model?

Feature Selection
Feature Extraction
Feature Engineering
All of the above

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What is the main drawback of the K-Means clustering algorithm?

Sensitivity to outliers
High computational complexity
Difficulty in determining the number of clusters
Lack of scalability

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What is the main objective of feature scaling in machine learning?

To reduce the number of features
To increase the complexity of the model
To increase the complexity of the model
To ensure that all features have the same scale

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Which technique is used to handle imbalanced classes in a classification problem?

Oversampling
Undersampling
SMOTE
All of the above

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Which algorithm is used to find the shortest path in a graph?

Breadth-First Search (BFS)
Depth-First Search (DFS)
Dijkstra's Algorithm
A* Algorithm

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Which type of neural network is commonly used for image recognition tasks?

Convolutional Neural Network (CNN)
Recurrent Neural Network (RNN)
Multilayer Perceptron (MLP)
Radial Basis Function Network (RBFN)

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Which technique is used to transform categorical variables into numerical values?

Label Encoding
One-Hot Encoding
Ordinal Encoding
All of the above

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Which technique is used to make decisions in uncertain and complex environments?

Fuzzy Logic
Genetic Algorithms
Reinforcement Learning
Bayesian Networks

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Which technique is used to combine the predictions of multiple weak learners to build a strong learner?

Bagging
Boosting
Stacking
All of the above

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What is the process of extracting meaningful information from text called?

Text Mining
Text Understanding
Information Retrieval
Text Analysis

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Which type of learning algorithm attempts to mimic the way the human brain works?

Supervised Learning
Unsupervised Learning
Reinforcement Learning
Neural Network Learning

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What is the main objective of hyperparameter tuning in machine learning?

To improve the performance of the model
To reduce the complexity of the model
To increase the interpretability of the model
To reduce the computational complexity of the model

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What is the purpose of dimensionality reduction in machine learning?

To increase the complexity of the model
To reduce overfitting
To decrease computational efficiency
To increase computational efficiency

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Which AI technique focuses on enabling computers to learn from data and improve performance over time without being explicitly programmed?

Expert Systems
Machine Learning
Natural Language Processing
Robotics

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What is the primary objective of Artificial Intelligence (AI)?

To replace human intelligence
To mimic human intelligence in machines
To develop systems that can perform tasks requiring human intelligence
To automate all human tasks

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What is the main objective of supervised learning?

To learn from unlabeled data
To learn from labeled data
To learn from reinforcement
To learn from human experts

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Which of the following is NOT a component of an expert system?

Knowledge Base
Inference Engine
User Interface
Deep Learning

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Which technique in AI allows computers to learn from experience and understand patterns in data without being explicitly programmed?

Natural Language Processing (NLP)
Expert Systems
Machine Learning
Neural Networks

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Which technique is used to reduce the complexity of a decision tree model and avoid overfitting?

Pruning
Splitting
Growing
Branching

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Which algorithm is commonly used for classification tasks in Machine Learning?

K-Means
Gradient Descent
Support Vector Machines (SVM)
Apriori

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