Machine Learning Developer Interview Questions and Answers

Loss function measures the difference between predicted and actual values. Various types of loss functions are used in machine learning.

• Loss function is used to optimize the model by minimizing the error between predicted and actual values

• Types of loss functions include mean squared error, cross-entropy loss, hinge loss, etc.

• Activation functions are used to introduce non-linearity in the model, popular ones include sigmoid, ReLU, tanh, etc.

• CNN architectures are used for image...read more