Wait, am I the only one who didn't know scikit-learn and XGBoost can do continual learning?!
Continual learning is where you update a model as new data comes in. Not by retraining the model from scratch (old data + new data). This is great if you're dealing with huge data where retraining on the entire dataset would be computationally painful.
Has anyone used this before? What cool uses could this unlock in your projects?