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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>Unsupervised Representation Learning - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="blEsILitAu"&gt;&lt;a href="https://glosarix.com/en/glossary/unsupervised-representation-learning-en/"&gt;Unsupervised Representation Learning&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/unsupervised-representation-learning-en/embed/#?secret=blEsILitAu" width="600" height="338" title="&#x201C;Unsupervised Representation Learning&#x201D; &#x2014; Glosarix" data-secret="blEsILitAu" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: Unsupervised representation learning is an approach in the field of machine learning that focuses on extracting patterns and underlying structures from data without the need for predefined labels or outputs. This method allows algorithms to autonomously identify relevant features of the data, resulting in representations that can be used for various tasks such as [&hellip;]</description></oembed>
