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Unsupervised Learning

curated by Camillo

Unsupervised Learning

Unsupervised learning means learning (important aspects of) an unknown distribution based on sample data. This includes finding new representations of data that foster learning, generalization, and communication.

It comes from

↑ Machine Learning

and can be specialized into

↓ Autoencoder



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  • Machine Learning Clustering

    Applications of clustering, data preparation, similarity measures, k-means algorithm, quality of clustering

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  • Deep Unsupervised Learning Lecture Series

    Generative adversarial networks, variational autoencoders, autoregressive models, flow models, energy based models, compression, self-supervised learning, semi-supervised learning

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    Unsupervised Learning