👉 In the context of computer vision and machine learning, a "lassoer" or "lasso" is a type of regularization technique used in machine learning models. The term is often used to refer to the method of adding a penalty term to the loss function that encourages model parameters to be closer to zero. The lasso regularization approach involves adding a term to the loss function that penalizes the magnitude of the model's weights, which are typically learned during training. This way, the model can