Struggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine learning ...

When training a logistic regression model, there are many optimization algorithms that can be used, such as stochastic gradient descent (SGD), iterated Newton-Raphson, Nelder-Mead and L-BFGS. This ...

There are several ways to train a logistic regression model. Compared to other training algorithms, batch stochastic gradient descent with weight decay is especially effective for large datasets.

Optimization methods for machine learning, including neural networks, typically use some form of gradient descent algorithm to ... two or more classes. Logistic regression is a method for solving ...