Uncategorized AI/ML Screening Test by mfh.officials@gmail.com Jan 7, 2025 0 Comment Artificial Intelligence (AI) and Machine Learning (ML) 1 / 18 What is the purpose of "feature scaling" in machine learning? To make sure all features are on the same scale to improve model performance To reduce the number of features To eliminate missing values To increase the interpretability of the model 2 / 18 Which type of machine learning algorithm is used to group data points into distinct clusters? Classification Dimensionality Reduction Clustering Regression 3 / 18 In deep learning, which of the following techniques is used to prevent the model from overfitting? L2 Regularization All of the above Dropout Early Stopping 4 / 18 Which algorithm is best suited for detecting anomalies in data? K-Means Clustering Decision Trees Naive Bayes One-Class SVM 5 / 18 Which of the following models uses the concept of a "kernel" to map input data into a higher-dimensional space? Naive Bayes Support Vector Machines (SVM) Decision Trees Logistic Regression 6 / 18 Which of the following is true for the concept of "Gradient Descent"? It always converges to the global minimum. It works by choosing random weights for model parameters. It is used to optimize a function by finding the local minimum. It cannot be used for deep learning models. 7 / 18 What is "bias" in machine learning? The error due to lack of data The error due to random fluctuations in the dataset The error due to incorrect assumptions made by the model The error due to model complexity 8 / 18 Which technique is used to evaluate the performance of a regression model? Accuracy Mean Squared Error (MSE) ROC Curve Precision 9 / 18 Which of the following is NOT a type of Machine Learning? Evolutionary Learning Supervised Learning Unsupervised Learning Reinforcement Learning 10 / 18 Which of the following is true about decision trees? They split data based on feature values using a tree-like structure. They are sensitive to overfitting only on very small datasets. They are not interpretable. They can only be used for classification tasks. 11 / 18 Which of the following algorithms is typically used for outlier detection in continuous data? Naive Bayes Decision Trees K-Means DBSCAN 12 / 18 Which of the following is a characteristic of supervised learning? The model learns patterns without labeled data. The model learns from labeled data. The model uses feedback from the environment. The model learns to classify data into distinct categories without labels. 13 / 18 Which of the following techniques is used to improve the performance of an underfitting model? Cross-validation Regularization Pruning Increase model complexity 14 / 18 Which type of neural network is specifically designed for spatial data, such as images? Multilayer Perceptrons (MLP) Recurrent Neural Networks (RNN) Convolutional Neural Networks (CNN) Generative Adversarial Networks (GAN) 15 / 18 What does the "softmax" activation function do? Prevents overfitting in the model Introduces non-linearity to the network Maps any value between 0 and 1 Converts the output of a network to a probability distribution 16 / 18 Which neural network architecture is designed to work with sequential data such as time-series or text? Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Deep Belief Networks Fully Connected Networks 17 / 18 Which technique can be used to prevent overfitting in deep learning models? Early stopping Regularization (L1/L2) All of the above Cross-validation 18 / 18 Which of the following measures the proportion of false positives in a classification problem? Precision False Positive Rate (FPR) F1 Score Recall Your score isThe average score is 48%
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