Notifications
Clear all
Overfitting occurs when a model learns noise instead of patterns and performs poorly on new data. This is one of the most important concepts covered in AI Training Courses, especially when dealing with real-world datasets.
Ways to prevent it:
-
Use regularization (L1/L2)
-
Implement dropout
-
Use cross-validation
-
Gather more data
-
Apply early stopping
-
Reduce model complexity
This topic was modified 3 months ago 3 times by kerina
Topic starter
Posted : 15/11/2025 4:52 am