Question Bank

Which of the following are components typically found in a Django project structure? (Select all that apply)

Which of the following are aggregation methods in Django QuerySets? (Select all that apply)

What is model inheritance in Django?

What are the two main types of model inheritance in Django?

What is the purpose of search_fields in ModelAdmin?

What problem do residual connections in ResNets primarily address?

What is the difference between an iteration and an epoch in neural network training?

What is transfer learning in deep learning?

What is early stopping in machine learning?

What is Principal Component Analysis (PCA)?

What is UMAP (Uniform Manifold Approximation and Projection)?

What is the basic difference between LSTM and Transformers?

When should you use Label Encoding instead of One-Hot Encoding?

What is t-SNE (t-Distributed Stochastic Neighbor Embedding)?

In a GAN, what happens during training?

Increasing batch size always leads to faster training and better model performance.

Learning rate should remain constant throughout training for optimal convergence.

Data normalization in machine learning involves subtracting the mean and dividing by the standard deviation to ensure better convergence.

In deep neural networks, adding more layers always improves model performance.

When evaluating multiple ML models on the same data, you should generate new random train/test splits for each model to ensure robustness.