TECHNICAL QUIZ ROUND 1 PHASE 2

In machine learning, what is the term used to describe the process of dividing a dataset into training and testing sets?

• Dimensionality reduction

• Normalization

• Feature extraction

• Train-test split

What is the purpose of the "Seaborn" library in Python?

• Natural language processing

• Machine learning algorithms

• Data visualization

• Web development

What does the term "bias-variance tradeoff" refer to in machine learning?

• The balance between underfitting and overfitting in a model

• The tradeoff between the complexity of a model and its interpretability

• The tradeoff between the bias and variance of a model

• The balance between the number of features and the number of samples in a dataset

In a convolutional neural network (CNN), what does the term "kernel" refer to?

• The output of the neural network

• A learnable filter used for feature extraction

• The activation function applied to each neuron

• The loss function used for optimization

Which algorithm is commonly used for time series forecasting?

• K-nearest neighbors (KNN)

• Random Forest

• Recurrent Neural Networks (RNN)

• Support Vector Machines (SVM)

Which of the following evaluation metrics is suitable for multi-class classification tasks?

• ROC-AUC score

• Mean Squared Error

• Precision-Recall curve

• F1-score

Which statistical measure represents the central tendency of a dataset?

• Mean

• Median

• Mode

• Variance

What is the activation function commonly used in the output layer of a regression neural network?

• Sigmoid

• ReLU (Rectified Linear Unit)

• Linear

• Softmax

Which optimization algorithm is commonly used to update the weights of a neural network?

• Gradient Descent

• Random Search

• Hill Climbing

• Genetic Algorithm

Which method is used to reduce the learning rate during training in neural networks?

• Learning rate annealing

• Data augmentation

• L2 Regularization

• Stochastic gradient descent