Beginner
Artificial Intelligence & Machine Learning
Q36 / 100
What is a loss function?
Correct! Well done.
Incorrect.
The correct answer is B) A function measuring the difference between predicted and actual values, guiding parameter updates during training
B
Correct Answer
A function measuring the difference between predicted and actual values, guiding parameter updates during training
Explanation
Cross-entropy loss for classification: -Σy_i log(ŷ_i). MSE for regression: (y-ŷ)². Hinge loss for SVM. The gradient of the loss guides gradient descent updates to minimize prediction error.
Progress
36/100