But machine learning comes in many different flavors. In this post, we will explore supervised and unsupervised learning, the two main categories of machine learning algorithms. Each subset is ...

Both unsupervised and supervised learning methods rely on data collection, raising significant concerns about user privacy and permission.

Neuroscientist Franziska Bröker is studying how both humans and machines learn without supervision—like a child on their own—and has uncovered a puzzle: Unsupervised learning can either help ...

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...

1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

The latest book by Professor Li Hang, 'Machine Learning Methods (2nd Edition)', not only provides a systematic textbook for learning machine learning but also offers insights for parents on how to ...