Machine learning can determine your context, meaning, equivalent grade-level and even your mood from your choice of words ...

Today, learning algorithms uncover patterns in large pools of data about how students have performed on material in the past and optimize teaching strategies accordingly.

Why is machine learning so hard to explain? Making it clear can help with stakeholder buy-in Your email has been sent Getty Images/iStockphoto More must-read AI coverage Apple: What’s New in iOS ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

While traditional algorithms rely on rules defined by humans, machine learning techniques create their own rules by learning from data.

10 Things Every Small Business Should Know About Machine Learning You can have machine learning without sophisticated algorithms, but not without good data.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Part of the issue, though, is that machine-learning algorithms are effectively programming themselves, meaning that they can sometimes be unpredictable, or even slightly alien.