Unsupervised learning

Unsupervised learning is a type of machine learning where a model is trained on data without labeled outcomes. The system analyzes and identifies patterns or structures in the data, such as clustering or associations, without explicit guidance on what to look for. It is often used for tasks like anomaly detection, clustering, and dimensionality reduction.
DALL-E/GPT4o prompt: Provide black and white illustration of your response regarding unsupervised learning of music tunes into music genre clusters, in style of Gustav Doree
24.10.2024

Example of unsupervised learning

Imagine you have a big collection of music tracks from various genres, but you don’t know the genre of each track. Using unsupervised learning, like a clustering algorithm...
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24.10.2024

Clustering

Clustering is a machine learning technique used to group a set of data points into clusters based on their similarity. It is an unsupervised learning method, meaning that the da...
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