Quiz | Croma Campus

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 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 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 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 component of an expert system?

Knowledge Base
Inference Engine
User Interface
Deep Learning

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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 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 recommend items to users based on their past preferences?

Clustering
Collaborative Filtering
Association Rule Learning
Regression

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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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Which algorithm is used to find frequent itemsets in a transactional database?

Apriori
K-Means
DBSCAN
Hierarchical Clustering

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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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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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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 algorithm is used to classify data points into multiple classes by building a decision tree?

Decision Trees
Random Forest
K-Nearest Neighbors (KNN)
Support Vector Machines (SVM)

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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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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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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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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 generate synthetic samples from an existing dataset to balance class distribution?

SMOTE
ADASYN
NearMiss
All of the above

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Which type of validation technique involves dividing the dataset into k equal-sized subsets?

Holdout Validation
Cross-Validation
Leave-One-Out Validation
Random Sampling

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Which technique is used to estimate the performance of a machine learning model on unseen data?

Holdout Validation
Cross-Validation
Leave-One-Out Validation
All of the above

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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 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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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 drawback of rule-based expert systems?

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

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Which technique is used to detect outliers in a dataset?

Z-Score
Interquartile Range (IQR)
Mahalanobis Distance
All of the above

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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 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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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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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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