StackedML
Practice
Labs
Questions
Models
Pricing
Sign in
Questions
/
ML Fundamentals
/
Core Concepts
/
Regularization (L1/L2 intuition)
← Previous
Next →
634.
Purpose of Regularization
easy
What is the primary purpose of regularization in machine learning?
A
To reduce training error by smoothing the loss landscape around the global minimum
B
To speed up model convergence by scaling the loss function during optimization
C
To increase model capacity by adding implicit features through the penalty term
D
To reduce overfitting by penalizing model complexity during training
Sign in to verify your answer
← Back to Questions