Machine Learning MCQ: Test Your Knowledge! Machine learning is a subset of?Artificial intelligenceStatisticsData miningMathematicsWhich of the following is NOT true about deep learning?It uses neural networks with many layersIt always requires less data than traditional MLIt can automatically learn features from raw dataIt has shown remarkable performance in various domainsWhat is a decision tree in machine learning?A model that splits data based on features to predict outcomesA method to cluster similar itemsA tool for data visualizationA technique to reduce dimensionalityWhat is a key characteristic of foundation models compared to traditional LLMs?They are smaller in sizeThey are trained on broader datasetsThey only work for specific tasksThey require less computing powerWhat is inductive bias in machine learning?Assumptions made by the learning algorithmThe randomness in the datasetErrors in the data labelingThe process of overfittingWhat is the primary purpose of LangChain in Java?To create Java applicationsTo facilitate building LLM-powered applicationsTo replace Java with a new languageTo optimize Java performanceWhat is the difference between a dense layer and a convolutional layer in neural networks?Dense layers are only for imagesConvolutional layers use shared weightsDense layers are unsupervisedThere is no differenceWhat is the purpose of the learning rate in gradient descent?To determine the number of iterationsTo control the step size during optimizationTo set the batch sizeTo initialize the model weightsWhat is a perceptron in machine learning?A simple neural networkA type of clustering algorithmA data preprocessing toolA regression techniqueHow is an artificial neural network related to machine learning?It's a competing technologyIt's a type of machine learning algorithmIt's only used in computer visionIt's not related to machine learningWhat is the main difference between Large Language Models (LLMs) and traditional machine learning models?LLMs only work with text dataLLMs are always unsupervisedLLMs can generate content, not just classifyLLMs are smaller in sizeWhat is hyperparameter tuning in machine learning?The process of optimizing the model's parametersThe process of cleaning and preprocessing dataThe process of visualizing dataThe process of reducing dimensionalityIs deep learning a subset of machine learning?YesNoMaybeIt dependsIs deep learning a subset of machine learning?YesNoOnly in specific contextsIt depends on the algorithmWhat is the main difference between a Convolutional Neural Network (CNN) and a Regular Neural Network?CNNs are only for text dataCNNs use pooling layersCNNs don't use activation functionsCNNs are unsupervisedHow does machine learning handle noisy data?By using techniques like filtering or noise reductionBy ignoring the noiseBy removing all noisy dataBy increasing the noise in the datasetWhat is the purpose of a confusion matrix in classification?To evaluate the accuracy of the modelTo visualize the data distributionTo reduce data dimensionalityTo cluster similar items togetherWhat is the main difference between batch normalization and layer normalization?Batch normalization is applied to all layersLayer normalization is applied across featuresBatch normalization is only for CNNsThere is no differenceWhat is the difference between generative AI and machine learning?Generative AI creates new data, ML analyzes existing dataML creates new data, Generative AI analyzes existing dataBoth are identicalThere is no differenceWhat is unsupervised learning used for?Finding hidden patterns in unlabeled dataClassifying labeled dataPredicting continuous outcomesVisualizing data points Score: 0/20 Next Set of Questions