Machine Learning

Algorithms, models and training concepts.

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Learning Rate

The learning rate is a hyperparameter that controls the size of the steps an optimization algorithm takes when updating a model's parameters during training.

Logistic Regression

Logistic Regression is a supervised machine learning algorithm used for binary classification that estimates the probability an input belongs to a particular class.

Loss Function

A loss function quantifies how far a model's predictions are from the true values, serving as the objective that training tries to minimize.