In the glossary, ML is defined as
“In these techniques, we expect the algorithms to learn by itself without being explicitly programmed.”
When I have an logistic regression algorithm, do I need to always recalculate the parameters with new data to call it a machine learning model? If yes, how often?
How does it “learn by itself”?