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.

Here are the differences between supervised, semi-supervised, and unsupervised learning -- and how each is valuable in the enterprise.

Semi-supervised learning: the best of both worlds When to use supervised vs unsupervised learning What is supervised learning? Combined with big data, this machine learning technique has the power to ...

To a large extent, supervised ML is for domains where automated machine learning does not perform well enough. Scientists add supervision to bring the performance up to an acceptable level.

Unsupervised learning is a powerful type of machine learning where algorithms analyse and find patterns in data without any human intervention or prior knowledge of categories. Unlike supervised ...