New research has found similarities in how humans and artificial intelligence integrate two types of learning, offering new ...

Deep learning vs. machine learning: what's the difference between the two? We provide a simplified explanation of both AI-based technologies.

There are two main approaches to machine learning – supervised and unsupervised – and each has specific applications in the context of healthcare. And even though their impact has not yet sent ...

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 ...

Trained machine learning There are two types of machine learning: trained and untrained. Most of us experience trained, or supervised, machine learning in our everyday lives, from weather ...

The three central machine-learning methodologies that programmers can use are supervised learning, unsupervised learning, and reinforcement learning.

Design and implement various machine learning algorithms in a range of real-world applications. Explore ethical implications of deploying machine learning algorithms in real-life.