Machine Learning MCQ: Test Your Knowledge! What is BERT in the context of NLP?A type of chatbotA pre-trained language modelA programming languageA data format for textWhat is the primary function of BigQuery ML in machine learning?To create small datasetsTo train models using SQL in BigQueryTo visualize machine learning resultsTo deploy models to productionWhat is a typical output of a clustering algorithm?Groups of similar data pointsPredictions of future eventsReduced data noiseA visualization of the datasetWhat is hyperparameter tuning in machine learning?The process of training a modelThe process of optimizing model architecture parametersThe process of cleaning dataThe process of feature selectionWhat is the main purpose of hyperparameter tuning in machine learning?To increase the size of the training datasetTo optimize model performanceTo reduce the number of featuresTo eliminate overfitting completelyWhat are embeddings in NLP?A type of punctuationVector representations of words or phrasesA method of text encryptionA form of data compressionWhat is feature engineering?The process of selecting and transforming variables for a modelA technique for clustering dataA method for generating new dataA tool for data visualizationWhat is the primary difference between generative AI and traditional machine learning?Generative AI can only work with imagesTraditional ML is always more accurateGenerative AI can create new content, while traditional ML typically makes predictions or classificationsThere is no difference between themWhat is the main purpose of conversation buffer memory in LangChain?To increase conversation speedTo store and manage conversation historyTo encrypt conversation dataTo compress conversation logsWhat is the purpose of the Wasserstein distance in machine learning?To perform classificationTo measure the distance between probability distributionsTo reduce dimensionalityTo generate synthetic dataMachine learning is a subset of deep learning.FalseTruePartially trueDepends on the contextWhat is class imbalance in machine learning?When one class has significantly more samples than othersWhen all classes have equal samplesWhen the model performs equally on all classesWhen the dataset is too smallWhat is the primary advantage of using deep learning for chatbots?They never make mistakesThey can understand and generate more natural languageThey don't require any training dataThey are always faster than rule-based chatbotsWhich step in a typical machine learning process involves testing the solution on the test data?Data collectionModel trainingModel validationModel testingWhat is the main idea behind the YOLO (You Only Look Once) algorithm?It's a type of RNNIt's a real-time object detection systemIt's a clustering algorithmIt's a technique for data augmentationWhat is supervised learning used for?Learning from labeled data to make predictionsLearning from unlabeled dataClustering similar data pointsGenerating new data samplesHow does machine learning handle large datasets?By using techniques like distributed computing and parallel processingBy ignoring the large data sizeBy reducing the dataset size manuallyBy increasing the noise in the datasetHow is an artificial neural network related to machine learning?It is a type of machine learning algorithmIt is unrelated to machine learningIt is a data preprocessing toolIt is only used in AIWhat is a real-world application of clustering?Customer segmentation for targeted marketingPredicting stock pricesClassifying email as spam or not spamReducing data dimensionalityWhat type of deep learning algorithms are typically used by generative AI?Convolutional Neural NetworksRecurrent Neural NetworksGenerative Adversarial NetworksDecision Trees Score: 0/20 Next Set of Questions