The transformer neural network was first proposed in a 2017 paper to solve some of the issues of a simple RNN. This guide will introduce you to its operations.
Structured query language, or SQL, is a useful tool both for data scientists and many others who work with data. This tutorial will introduce you to its use in Python.
In Python, function wrappers are called decorators, and they have a variety of useful applications in data science. This guide covers how to use them for managing model runtime and debugging.
Mean normalization is the process of calculating and subtracting the mean for every feature in a machine learning model and is used in feature scaling. Learn how it works.
Converting a JavaScript string into a number is useful for comparing numerical data that comes in string format and completing math operations. Here are seven methods to do it.
The derivative of the sigmoid function is the sigmoid function multiplied by one minus the sigmoid function and is used in backpropagation. Learn how to calculate it.
