Machine learning, the subset of artificial intelligence that teaches computers to perform tasks through examples and experience, is a hot area of research and development. Many of the applications we ...

Semi-supervised and unsupervised learning methods seek to extract structure and predictive power from data when labelled examples are scarce or absent. Unsupervised learning targets patterns and ...

In recent articles I have looked at some of the terminology being used to describe high-level Artificial Intelligence concepts – specifically machine learning and deep learning. In this piece, I want ...

The training process for artificial intelligence (AI) algorithms is designed to be largely automated innately. There are often thousands, millions or even billions of data points and the algorithms ...

This is part two of my series based on Lomit Patel’s “Lean AI” (O’Reilly, ISBN:978-1-492-05931-8). The first discussed business applications can benefit from supervised learning. This article will ...

Explain what unsupervised learning is, and list methods used in unsupervised learning. List and explain algorithms for various matrix factorization methods, and what each is used for. Welcome to ...

Advancements in healthcare analytics can benefit both doctors and patients, as they can help detect and diagnose diseases early on, ultimately improving healthcare quality and patient outcomes. The ...