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.

Developers know a lot about the machine learning (ML) systems they create and manage, that’s a given. However, there is a need for non-developers to have a high level understanding of the types ...

Now let’s walk through two supervision levels of machine learning algorithms and models – supervised and unsupervised learning. Understanding the type of algorithm we’re looking at, and ...

This type of machine learning started as far back as 1943. While the technology initially showed promise, it had to endure several AI winters before it reexperienced a surge in interest in the ...

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

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

Imagine a future where lung cancer detection is faster and more accurate, helping doctors make better decisions.

With this type of machine learning, algorithms sift through heaps of unstructured data without any specific directions or end goals in mind.