#machinelearning #deeplearning #statistics
Overfitting and underfitting are very common problems in machine learning. You usually have to find a sweet spot between fitting the training data well (that is not underfitting) and being able to generalize to the test data (not overfitting).
Credits:
All animations were made using the manim library: https://docs.manim.community/en/stable/
source