Machine Learning MCQ: Test Your Knowledge! Which machine learning technique helps in detecting outliers in data?Linear regressionNaive BayesAnomaly detectionDecision treesWhat is a decision tree used for in machine learning?Classifying or predicting based on feature splitsGrouping similar data pointsReducing the dimensionality of dataPreprocessing data for analysisWhat is the main advantage of using multiple agents in LangChain?To increase processing speedTo handle complex tasks requiring different expertiseTo reduce model sizeTo encrypt communication between modelsWhat is the purpose of the Earth Mover's Distance (EMD) in machine learning?To perform clusteringTo measure the distance between probability distributionsTo reduce dimensionalityTo generate synthetic dataWhat is ConversationBufferMemory in LangChain used for?To increase RAM in computersTo store and manage conversation historyTo buffer network connectionsTo memorize entire conversations permanentlyWhat does the term "recall" mean in the context of classification?The proportion of true positives identified by the modelThe proportion of true negatives identified by the modelThe speed of the model's predictionsThe difference between predicted and actual valuesWhat is the main difference between a Variational Autoencoder (VAE) and a standard Autoencoder?VAEs are supervisedVAEs learn a probabilistic mappingStandard Autoencoders are only for imagesThere is no differenceWhat is the primary use of clustering in machine learning?To predict future data pointsTo group similar data pointsTo reduce data sizeTo rank data by importanceWhat is a perceptron in machine learning?A basic unit of a neural networkA type of clustering algorithmA data visualization toolA method for dimensionality reductionWhat is the purpose of the Gaussian Mixture Model (GMM) in machine learning?To perform classificationTo model probability distributionsTo reduce dimensionalityTo generate synthetic dataWhat is an example of machine learning applications?Fraud detection in financeManually entering data into spreadsheetsSending automated emailsHardcoding website designsWhat is a typical output of a clustering algorithm?Groups of similar data pointsPredictions of future eventsReduced data noiseA visualization of the datasetHow does machine learning differ from rule-based systems?ML learns from data, rule-based systems use explicit rulesRule-based systems learn from data, ML uses explicit rulesBoth are the sameML does not use data at allWhat is an example of an ensemble method?Random ForestK-means clusteringLinear regressionNeural networksWhat is a primary goal of Natural Language Processing in AI?To replace human languagesTo enable machines to understand and generate human languageTo create new languagesTo encrypt communicationWhat is the main function of a retriever in LangChain?To retrieve deleted codeTo fetch relevant information for LLM queriesTo recover crashed applicationsTo retrain the model in real-timeWhat is the primary purpose of embeddings in NLP?To compress text dataTo represent words or phrases as vectorsTo encrypt language modelsTo speed up text processingWhat is the purpose of using validation data in machine learning?To tune model parameters and prevent overfittingTo train the modelTo reduce the dataset sizeTo generate new data pointsWhat is the purpose of the t-test in machine learning?To perform clusteringTo compare means of two groupsTo reduce dimensionalityTo generate synthetic dataWhat does the term "precision" refer to in machine learning?The proportion of true positive predictions out of all positive predictionsThe proportion of true negative predictionsThe speed of the model's predictionsThe difference between predicted and actual values Score: 0/20 Next Set of Questions