How Do L1 And L2 Regularization Differ?
Автор: AI and Machine Learning Explained
Загружено: 2025-12-02
Просмотров: 16
Описание:
Ever wondered about the key distinctions between L1 and L2 regularization in machine learning? This video breaks down these fundamental concepts, explaining how each method tackles overfitting and impacts model performance.
Here's what you'll discover:
► The core mathematical difference between L1 (Lasso) and L2 (Ridge) penalties.
► How L1 regularization promotes sparsity and feature selection by driving some coefficients to zero.
► How L2 regularization shrinks all coefficients uniformly, reducing their magnitude and preventing extreme values.
► When to choose L1 versus L2 based on your dataset characteristics and modeling goals.
#L1Regularization, #L2Regularization, #MachineLearning, #DeepLearning, #AIExplained
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