Machine learning Quiz- 1 (14.12)
Quiz by Anitha PSGRKCW
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9 questions
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- Q1What is the purpose of recommender systems in college education?To monitor student behaviorTo schedule examsTo suggest relevant courses or study materialsTo track student attendance30s
- Q2What is machine learning?A technique used to secure computer networks.A type of computer programming language.A branch of artificial intelligence where computer systems learn and improve from experience without explicit programming.A method for creating virtual reality environments.30s
- Q3What is supervised learning in machine learning?A learning algorithm that learns from unlabeled training data to make predictions or decisions.A learning algorithm that uses reinforcement to improve its performance.A learning algorithm that requires human intervention to function.A learning algorithm that learns from labeled training data to make predictions or decisions.30s
- Q4What is the difference between classification and regression in machine learning?Classification is used to predict discrete class labels, while regression is used to predict continuous numerical values.Classification and regression are essentially the same, just different names.Classification is used to predict continuous numerical values, while regression is used to predict discrete class labels.Classification is used for unsupervised learning, while regression is used for supervised learning.30s
- Q5What is the difference between unsupervised learning and supervised learning in machine learning?Supervised learning finds patterns or relationships in unlabeled data, while unsupervised learning uses labeled data to make predictions.Supervised learning uses labeled data to make predictions, while unsupervised learning finds patterns or relationships in unlabeled data.Unsupervised learning is only used for classification tasks, while supervised learning is only used for regression tasks.Supervised learning requires human intervention to function, while unsupervised learning does not.30s
- Q6What is unsupervised learning?A method used to secure computer networksA type of machine learning where the algorithm learns from labeled dataA type of machine learning where the algorithm learns from unlabeled dataA technique to store and retrieve information from databases30s
- Q7What is the purpose of feature extraction in machine learning?To make predictions based on historical dataTo optimize the hyperparameters of the modelTo transform raw data into a set of meaningful featuresTo train the model on labeled data30s
- Q8Which of the following is an example of a supervised learning algorithm?Principal Component AnalysisRandom ForestK-means ClusteringDBSCAN30s
- Q9Which of the following is an application of machine learning in real time?Optical character recognitionRecommendation systemsSpeech recognitionSentiment analysis30s