Softmax Regression is simply Logistic Regression extended to multiple classes.

By computing one linear score per class and normalizing them with Softmax, we obtain multiclass probabilities without changing the core logic.

The loss, the gradients, and the optimization remain the same.
Only the number of parallel scores increases.

Implemented in Excel, the model becomes transparent: you can see the scores, the probabilities, and how the coefficients evolve over time.

The post The Machine Learning “Advent Calendar” Day 14: Softmax Regression in Excel appeared first on Towards Data Science.

​Softmax Regression is simply Logistic Regression extended to multiple classes.
By computing one linear score per class and normalizing them with Softmax, we obtain multiclass probabilities without changing the core logic.
The loss, the gradients, and the optimization remain the same.
Only the number of parallel scores increases.
Implemented in Excel, the model becomes transparent: you can see the scores, the probabilities, and how the coefficients evolve over time.
The post The Machine Learning “Advent Calendar” Day 14: Softmax Regression in Excel appeared first on Towards Data Science.  Artificial Intelligence, Machine Learning, Data Science, Statistics Towards Data ScienceRead More