Intersoft Data Labs Machine Learning Software Engineer Interview Questions and Answers

Sets are faster than lists because they use hash tables for storage, allowing for constant time complexity for operations like membership check.

• Sets use hash tables for storage, providing constant time complexity for operations like membership check

• Sets do not allow duplicate elements, making them efficient for tasks like removing duplicates from a list

• Lists have linear time complexity for membership check and removing

Dropout is a regularization technique to prevent overfitting by randomly setting some neuron outputs to zero during training. Batch normalization is a technique to improve the training of deep neural networks by normalizing the input of each layer.

• Dropout randomly sets a fraction of neuron outputs to zero during training to prevent overfitting.

• Batch normalization normalizes the input of each layer to improve training o...read more