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<oembed><version>1.0</version><provider_name>AmalgamCS Tech Blog</provider_name><provider_url>https://blog.amalgamcs.com</provider_url><author_name>Garrik Hoyt</author_name><author_url>https://blog.amalgamcs.com/index.php/author/amalgamdvlpmnt/</author_url><title>Cost Functions in Machine Learning - AmalgamCS Tech Blog</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="txGI6ruG36"&gt;&lt;a href="https://blog.amalgamcs.com/index.php/2023/03/16/cost-functions-in-machine-learning/"&gt;Cost Functions in Machine Learning&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://blog.amalgamcs.com/index.php/2023/03/16/cost-functions-in-machine-learning/embed/#?secret=txGI6ruG36" width="600" height="338" title="&#x201C;Cost Functions in Machine Learning&#x201D; &#x2014; AmalgamCS Tech Blog" data-secret="txGI6ruG36" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>Cost functions, also known as loss functions, play a vital role in training a machine learning model. They measure the difference between the predicted output of the model and the actual output. The goal of machine learning is to minimize the cost function to produce accurate predictions. In this blog [&hellip;]</description></oembed>
