AI & ML Quiz

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Basics of AI/ML

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Sunmola Israel

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AI & ML Quiz


AI & ML QuizVersión en línea Basics of AI/ML por Sunmola Israel 1 What does supervised learning primarily require to train a model? a Labeled training data b Manual rules for decisions c No data at all d Unlabeled data only 2 Which algorithm is commonly used to minimize a loss function via gradient descent? a K-Means b Apriori c PageRank d Stochastic Gradient Descent 3 What is overfitting? a Model performs identically on all data b Model underfits by being too simple c Model fits training data too closely and generalizes poorly d Model ignores the training data 4 Which ML paradigm learns from interactively by receiving feedback from the environment? a Unsupervised Learning b Reinforcement Learning c Supervised Learning d Semi-supervised Learning 5 What role do features play in ML models? a Represent the data for the model to learn from b Always determine model architecture c Are the only data used for testing d Serve as target labels only 6 Which metric is commonly used to evaluate binary classifiers? a Mean Absolute Error b Accuracy or AUC (ROC-AUC) c R-squared d Silhouette score 7 What is the purpose of cross-validation? a Increase training data size b Remove features automatically c Estimate model performance on unseen data d Boost training speed 8 Which of the following is a type of neural network best for sequential data? a Recurrent Neural Network (RNN) b Convolutional Neural Network c Transformer d Feedforward Network 9 What is bias-variance tradeoff? a Tradeoff between speed and memory b Tradeoff between training and testing time c Tradeoff between data and labels d Balance between model simplicity and flexibility 10 Which learning approach aims to learn representations from unlabeled data? a Unsupervised Learning b Semi-supervised Learning c Reinforcement Learning d Supervised Learning 11 what does AI stands for? a automated internet b artificial intelligence c Advanced intelligence d artificial itegration 12 What is Artificial intelligence a A Type Of Computer Hardware b The simulation of human intelligence by machines c A orogramming language d A computer virus 13 What Is Machine Learning a Teaching human to use machines b A method that enables computer to learn from data c Repairing computers d Building computers networks 14 Which Of The Following Is An Example Of AI? a Calculator b Keyboard c Virtual assisstant e.g siri d Flash Drive 15 What is the main goal of machine learning a To help computers learn patterns from data and improve performance b To store more files c to make computers heavier d To increase internet speed 16 Which industry uses AI for medical diagnosis? a Healthcare b Agriculture c Construction d transportation 17 What is the type of data machine learning requires? a Random guesses b Only images c Data and examples d Only text 18 Which of these is a benefit of AI? a increased efficiency b More manual work c Reduced accuracy d Slower decision-making 19 What is a chatbot? a A robot that cleans houses b Gaming console c A program that communicates with users through text or voice d A database 20 Which of the following is a concern about AI? a Ethnical and privacy issues b Improved productivity c Faster processing d Better automation Feedback 1 Supervised learning uses input-output pairs with labels to learn mappings. 2 Gradient descent optimizes parameters by following negative gradients of the loss. 3 Overfitting captures noise in training data, harming generalization. 4 In reinforcement learning, agents learn via rewards from actions. 5 Features are the input variables used by models to learn patterns. 6 Accuracy and ROC-AUC assess how well predictions match true labels. 7 Cross-validation tests generalization by partitioning data into folds. 8 RNNs handle sequences by maintaining hidden state across time steps. 9 High bias -> underfitting; high variance -> overfitting; balance needed. 10 Unsupervised learning discovers structure without labeled targets.

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AI & ML Quiz

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AI & ML QuizVersión en línea

por Sunmola Israel

What does supervised learning primarily require to train a model?

Which algorithm is commonly used to minimize a loss function via gradient descent?

What is overfitting?

Which ML paradigm learns from interactively by receiving feedback from the environment?

What role do features play in ML models?

Which metric is commonly used to evaluate binary classifiers?

What is the purpose of cross-validation?

Which of the following is a type of neural network best for sequential data?

What is bias-variance tradeoff?

Which learning approach aims to learn representations from unlabeled data?

what does AI stands for?

What is Artificial intelligence

What Is Machine Learning

Which Of The Following Is An Example Of AI?

What is the main goal of machine learning

Which industry uses AI for medical diagnosis?

What is the type of data machine learning requires?

Which of these is a benefit of AI?

What is a chatbot?

Which of the following is a concern about AI?

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