Walmart Senior Data Scientist Interview Questions and Answers

Bias is error due to overly simplistic assumptions, variance is error due to sensitivity to fluctuations. Regularization helps by penalizing complex models.

• Bias is error from erroneous assumptions in the learning algorithm. Variance is error from sensitivity to fluctuations in the training set.

• High bias can cause underfitting, where the model is too simple to capture the underlying structure. High variance can cause ov...read more

RNN is a type of neural network that processes sequential data, while LSTM is a type of RNN that addresses vanishing gradient problem.

• RNN is a type of neural network that can process sequential data by maintaining a hidden state.

• LSTM (Long Short-Term Memory) is a type of RNN that addresses the vanishing gradient problem by introducing memory cells and gates.

• LSTM is capable of learning long-term dependencies in data, ma...read more