What is batch gradient descent?
Updated May 15, 2026
Short answer
Batch gradient descent uses full dataset to compute gradients.
Deep explanation
It is stable but computationally expensive for large datasets.
Real-world example
Small dataset regression problems.
Common mistakes
- Using batch GD for large-scale datasets.
Follow-up questions
- Batch vs SGD?
- Why use mini-batch GD?