ML Quick Quiz

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Test your ML basics.

Saleh El Saidawey

Emiratos Árabes Unidos

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ML Quick Quiz


ML Quick QuizVersión en línea Test your ML basics. por Saleh El Saidawey 1 What is overfitting in ML? a Model never converges b Model learns noise in training data c Model underfits training data d Model trains too slowly 2 Which algorithm is a supervised learning method? a Principal Component Analysis b Linear Regression c K-means clustering d Genetic Algorithm 3 What does 'training data' represent? a Unlabeled measurements only b Test results for validation c Algorithmic parameters d Labeled examples used to fit a model 4 Which activation function is common in neural nets? a Argmax b Softmax c ReLU d Sigmoid derivative only 5 What is bias in a model? a Hyperparameter value b Random noise in data c Physical model weight d Systematic error in predictions 6 Which metric is used for binary classification? a AUC-ROC b Silhouette Score c R-squared d Mean Squared Error 7 What does cross-validation help with? a Increase training speed b Replace test set c Reduce data size d Assess model generalization 8 Which learning is based on maximizing predicted likelihood? a Gradient Descent b K-means c Maximum Likelihood Estimation d PCA 9 What is a neural network layer? a An optimization routine b A loss function c A data storage unit d A set of neurons producing outputs 10 Which technique reduces overfitting by adding data or noise? a Batching b Normalization c Decorrelation d Regularization