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 has been used in anomaly detection, e.g. for recognizing online fraud, or bringing novel patterns to the attention of a person. popular techniques for unsupervised learning ...

This week, I debated with my friend whether one should consider that Generative AI tools are created through supervised or unsupervised learning. At the end of it, I lost the debate.

However, when combined with supervised learning, the unsupervised methods offer a method for data structuring and exploratory data analysis, which enhances the predictive modelling.

Learning Objectives: 1. Understand the difference in substance and application between supervised and unsupervised machine learning algorithms. 2. Determine a baseline understanding of how to apply ...

Supervised machine learning is a branch of AI. This article covers the relevant concepts, importance in various fields, practical use in investing, and CAPTCHA applications.