Artificial Intelligence and Machine Learning MCQs | STS IBA FPSC BPSC SPSC PPSC Mcqs Test Preparation
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Which of the following is an ‘unsupervised learning’ algorithm?
A. K-means Clustering
B. Linear Regression
C. Logistic Regression
D. Naive Bayes
Answer: K-means Clustering
What does ‘deep learning’ involve?
A. Using neural networks with many layers to model complex patterns in data
B. Reducing the number of features in a dataset
C. Scaling features to a common range
D. Evaluating the performance of classification models
Answer: Using neural networks with many layers to model complex patterns in data
Which of the following metrics is used to evaluate clustering performance?
A. Silhouette Score
B. F1 Score
C. Mean Squared Error (MSE)
D. AUC-ROC
Answer: Silhouette Score
What is ‘autoencoder’ used for in machine learning?
A. Learning efficient representations of data
B. Classifying data into predefined categories
C. Optimizing model parameters
D. Clustering similar data points
Answer: Learning efficient representations of data
What does ‘data normalization’ achieve?
A. Scaling the features of the dataset to a specific range
B. Reducing the dimensionality of the data
C. Selecting the best features for the model
D. Handling missing values in the dataset
Answer: Scaling the features of the dataset to a specific range
Which technique is used to prevent ‘overfitting’ in machine learning models?
A. Regularization
B. Feature Scaling
C. Data Augmentation
D. Dimensionality Reduction
Answer: Regularization
Which of the following is a type of ‘generative model’?
A. Generative Adversarial Network (GAN)
B. Support Vector Machine (SVM)
C. K-means Clustering
D. Principal Component Analysis (PCA)
Answer: Generative Adversarial Network (GAN)
What is ‘Reinforcement Learning’?
A. A type of machine learning where an agent learns to make decisions by receiving rewards or penalties
B. A technique for dimensionality reduction
C. A method for supervised learning
D. A type of clustering algorithm
Answer: A type of machine learning where an agent learns to make decisions by receiving rewards or penalties
What does ‘model evaluation’ involve?
A. Assessing how well a model performs on unseen data
B. Training the model with the dataset
C. Selecting the best features for the model
D. Optimizing the hyperparameters
Answer: Assessing how well a model performs on unseen data