Mastering Machine Learning: The Differences Between Batch and Stochastic Gradient Descent
Gradient descent is a common optimization technique used in machine learning to minimize the cost or loss function of a model. It involves iteratively updating the model’s parameters in the direction of the negative gradient of the cost function. In simpler terms, gradually adjusting the model’s settings in a way…
Mastering Machine Learning: The Differences Between Batch and Stochastic Gradient Descent Gradient descent is a common optimization technique used in machine learning to minimize the cost or loss function of a model. It involves iteratively updating the model’s parameters in the direction of the negative gradient of the cost function. In simpler terms, gradually adjusting the model’s settings in a way… data-science
Mastering Machine Learning Differences Batch Stochastic Gradient Descent Gradient descent common optimization technique used machine learning minimize cost loss function model involves iteratively updating model’s parameter direction negative gradient cost function simpler term gradually adjusting model’s setting way… datascience