In this episode, we discuss the bane of many machine learning algorithms - overfitting. It is also explained why it is an undesirable way to learn and how to combat it via L1 and L2 regularization. _____________________________ The paper "Regression Shrinkage and Selection via the Lasso" is available here: ****** Andrej Karpathy's excellent lecture notes on neural networks and regularization: ****** The neural network demo is available here: ****** A playlist with with out neural network and deep learning-related videos: ****** WE WOULD LIKE TO THANK OUR GENEROUS SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: Sunil Kim, Vinay S. Subscribe if you would like to see more of these! - ****** The thumbnail image background was created by Tony Hisgett (CC BY 2.0). It has undergone recoloring. - ****** Splash screen/thumbnail design: Felícia Fehér - ****** Károly Zsolnai-Fehér's links: Patreon → ****** Facebook → ****** Twitter → ****** Web → ******