Agent-based modeling (ABM) is a computational modeling technique that mimics how an individual agent behaves with an environment to simulate the overall system behavior. Here’s what to know.
Self organizing maps is a data visualization technique that reduces the dimensions of data to make it easier to understand high-dimensional data. Learn how it works.
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.
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.
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.
