G.L.Bajaj Institute of Technology and Management Interview Questions and Answers

Gradient descent is an optimization algorithm used to minimize a function by iteratively moving in the direction of steepest descent.

• Gradient descent is commonly used in machine learning to update the parameters of a model in order to minimize the loss function.

• It calculates the gradient of the loss function with respect to the parameters and updates the parameters in the opposite direction of the gradient.

• The learning...read more

Use nested lists to represent a 2D matrix in Python.

• Create a list of lists where each inner list represents a row of the matrix.

• Access elements using row and column indices.

• Example: matrix = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]