Machine Learning, Regularization, Machine Learning Concept, Learning, Learning Journey.
by weights. To tackle this, we apply penalties to weights, adjusting how much importance each feature carries and how much information the model extracts from them. This, in turn, reshapes the model’s landscape and, as a result, its complexity. In contrast, biases don’t significantly contribute to