A step-by-step guide to rotating a 3D cube with three.js and a challenge for the reader.

A comparison of the two popular Python frameworks.

A hands-on guide to getting started with TensorFlow 2.0.

An in-depth look at logistic regression analysis with TensorFlow 2.0.

An in-depth look at linear regression analysis with TensorFlow 2.0.

Choosing the right algorithm for modeling data is a crucial part of the work of a data scientist. Here are the basic techniques.

In order to build a working data model, you'll need to understand all the basics of data access, blending, cleansing and validation.

How recommender systems use collaborative filtering.

The ultimate goal of the regression algorithm is to plot a best-fit line or a curve between the data.

Take a dive into the first type of artificial neural network ever invented — feedforward neural networks.

The ultimate goal of the supervised learning algorithm is to predict Y with the max accuracy for a given new input X. Here's how that works.