Supervised Learning and unsupervised learning in Machine Learning

This video, offered by the Young African Scientist Group, introduces the two main branches of Machine Learning — Supervised and Unsupervised Learning. It explains the core concepts behind each approach, their key differences, and how they are applied to real-world problems.

Through simple examples and clear visual explanations, viewers will learn how supervised learning uses labeled data to train models for prediction and classification, while unsupervised learning uncovers hidden patterns and relationships in unlabeled datasets.

The session also explores widely used algorithms such as linear regression, decision trees, k-means clustering, and principal component analysis (PCA), illustrating how they work and when to use them effectively.

Designed for beginners, students, and professionals eager to build a solid foundation in machine learning, this video provides both conceptual understanding and practical insight.

By the end, viewers will see how supervised and unsupervised learning power intelligent systems across industries — from business analytics and healthcare to science and technology — while contributing to innovation and development across Africa.

Видео Supervised Learning and unsupervised learning in Machine Learning канала YoungAfricanScientist