The rectified linear unit (ReLU) activation function introduces the property of nonlinearity to a deep learning model and solves the vanishing gradients issue. Here’s why it’s so popular.
Principal component analysis (PCA) in Python can be used to speed up model training or for data visualization. This tutorial covers both using scikit-learn.
Logistic regression is a classification technique that identifies the best fitting model to describe the relationship between the dependent and independent variables in a data set.
Term frequency-inverse document frequency (TF-IDF) is an NLP technique that measures the importance of each word in a sentence. Here’s how to create your own.
