Machine learning has been applied to a series of different problems within the technology space. Most recently, the National Institute of Standards and Technology (NIST) has developed a sophisticated methodology to help with wireless network selection. Th... (more…)

There are massive amounts of textual data residing in databases, valuable for many machine learning (ML) tasks. Since ML techniques depend on numerical input representations, word embeddings are increasingly utilized to convert symbolic representations su... (more…)

A quick foray into the foundations of machine learning... (more…)

We keep training machine learning models on Congress. Find out what this one learned about lawmakers’ top issues. (more…)

Imbalanced classes put "accuracy" out of business. This is a surprisingly common problem in machine learning, and this guide shows you how to handle it. (more…)