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 ...

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 ...

The Data Science Lab. Logistic Regression with Batch SGD Training and Weight Decay Using C#. Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to ...

Logistic regression can be applied in customer service, when you examine historical data on purchasing behaviour to personalise offerings. The afterword We’ve touched upon three common models of ...

But there is also some empirical work comparing various algorithms across many datasets and drawing some conclusions, what types of problems tend to do better with trees vs logistic regression.