diff --git a/python_scripts/02_numerical_pipeline_scaling.py b/python_scripts/02_numerical_pipeline_scaling.py
index b3e899333..b34d0964e 100644
--- a/python_scripts/02_numerical_pipeline_scaling.py
+++ b/python_scripts/02_numerical_pipeline_scaling.py
@@ -77,7 +77,8 @@
 #
 # * Many models such as logistic regression use a numerical solver (based on
 #   gradient descent) to find their optimal parameters. This solver converges
-#   faster when the features are scaled.
+#   faster when the features are scaled, as it requires less steps (called
+#   **iterations**) to reach the optimal solution.
 # ```
 #
 # Whether or not a machine learning model requires scaling the features depends