Quiz | Croma Campus

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 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 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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Which technique is used to assign probabilities to each possible value of a discrete random variable?

Probability Mass Function (PMF)
Probability Density Function (PDF)
Cumulative Distribution Function (CDF)
Cumulative Distribution Function (CDF)

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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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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 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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Which ensemble learning algorithm combines the predictions of multiple base estimators?

Bagging
Boosting
Stacking
All of the above

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Which technique is used to generate human-like outputs from a computer program?

Expert Systems
Genetic Algorithms
Natural Language Generation (NLG)
Reinforcement Learning

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Which technique is used to minimize errors in a neural network by adjusting the weights of connections between neurons?

Backpropagation
Gradient Descent
Forward Propagation
Stochastic Gradient Descent

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Which of the following is NOT a characteristic of an artificial neural network?

Learning
Adaptability
Fuzzy Logic
Generalization

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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 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 combine the predictions of multiple weak learners to build a strong learner?

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

Oversampling
Undersampling
SMOTE
All of the above

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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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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 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 main purpose of a confusion matrix?

To visualize the performance of a classification model
To calculate the accuracy of a regression model
To estimate the confidence interval of a prediction
To measure the variance of a model

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Which technique is used to recommend items to users based on their past preferences?

Clustering
Collaborative Filtering
Association Rule Learning
Regression

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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 of the following is NOT a subfield of AI?

Natural Language Processing (NLP)
Robotics
Calculus
Machine Learning

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Which technique is used to evaluate the performance of a classification model across different thresholds?

Receiver Operating Characteristic (ROC) Curve
Precision-Recall Curve
Confusion Matrix
All of the above

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Which technique is used to generate synthetic samples from an existing dataset to balance class distribution?

SMOTE
ADASYN
NearMiss
All of the above

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What is the main drawback of rule-based expert systems?

Limited scalability
Difficulty in knowledge acquisition
Inability to handle uncertainty
High computational complexity

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

Fuzzy Logic
Genetic Algorithms
Reinforcement Learning
Bayesian Networks

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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 drawback of oversampling techniques?

Increased risk of overfitting
Decreased computational efficiency
Loss of information
Sensitivity to outliers

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