A common mistake is to classify logistic regression algorithm as a non-linear machine learning model. In this post, we are … More
Tag: sigmoid
Feature Importance in Logistic Regression for Machine Learning Interpretability
Feature importance is a common way to make interpretable machine learning models and also explain existing models. That enables to … More
The Math Behind Neural Networks Learning with Backpropagation
Neural networks are one of the most powerful machine learning algorithm. However, its background might confuse brains because of complex … More
