Machine Learning: Unsupervised Learning

Brown University and Georgia Institute of Technology via Udacity

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Overview

Unsupervised Learning is a core branch of machine learning where algorithms are used to analyze and interpret data without labeled outputs or predefined categories. Unlike supervised learning, which relies on input-output pairs, unsupervised learning models discover hidden patterns, groupings, and structures in data on their own. The most common techniques in unsupervised learning include clustering (e.g., K-means, hierarchical clustering) and dimensionality reduction (e.g., PCA – Principal Component Analysis, t-SNE). These methods are useful for tasks like customer segmentation, anomaly detection, recommendation...

Syllabus

Einfhrung in die generative KI

In diesem Einfhrungskurs im Microlearning-Format wird erklrt, was generative KI ist, wie sie genutzt wird und wie sie sich von herkmmlichen Methoden fr Machine Learning unterscheidet. Darber hinaus werden Tools von Google behandelt, mit denen Sie eigene Anwendungen basierend auf generativer KI entwickeln knnen.