Skip main navigation

Machine learning

Explanation of the relation between AI, machine learning, and deep learning. Also cover supervised, unsupervised, and reinforcement learning.

By now, you have learned that connectionist AI consists of models that learn to solve problems by looking at example data. This is often done with the use of machine learning. In this video, educator Rosa Verhoeven explains how machine learning works.

In order to be able to use artificial intelligence to its full potential, it’s important to understand how the underlying mechanisms of these models work. These underlying mechanisms are called algorithms, which are basically a set of instructions that the machine has to follow. What kind of machine learning algorithms can be used for which problems? And how are these algorithms trained?

This article is from the free online

How Artificial Intelligence Can Support Healthcare

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now