Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

Learn about types of machine learning and take inspiration from seven real world examples and eight examples directly applied to SEO.

For example, even the specific math operations they've chosen can contain implicit bias based on the researchers' pre-existing knowledge of machine learning algorithms.

It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...

Sophisticated algorithms whose inner workings can be opaque make these predictions, so the lack of an uncertainty measure becomes an even greater problem when machine learning is involved.

The implications of this are wide and varied, and data scientists are coming up with new use cases for machine learning every day, but these are some of the top, most interesting use cases ...

Using machine learning algorithms and human gut bacteria, scientists have developed a new low-cost screening method for detecting colorectal cancer.