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

A comparison of two popular Python deep learning frameworks — PyTorch and TensorFlow.

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.

Collaborative filtering is a method for recommending items to users based on how users with similar preferences have interacted with those same items. Here’s how it works, a helpful example and some pros and cons to consider.

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.