Nominal, ordinal, discrete and continuous data are the main types of data used in statistics. Here's a comprehensive guide to each type.

In this guide to recurrent neural networks, we explore RNNs, backpropagation and long short-term memory (LSTM).

Take a high-level look into gradient descent — one of ML's most popular algorithms.

All you need to know about the random forest model in machine learning.

What you need to know to get started with descriptive statistical analysis.

An introduction to linear algebra.

This neural network will predict the sentiment of user reviews in the famous IMDB dataset

Deep learning is getting a lot of hype right now, but neural networks aren't the answer to everything.

The ultimate goal of natural language processing is to help computers understand language as well as we do.

Discover the value of transfer learning and how to use it.