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<oembed><version>1.0</version><provider_name>ARC</provider_name><provider_url>https://eaa-online.org/arc</provider_url><author_name>MARYNA GULENKO</author_name><author_url>https://eaa-online.org/arc/blog/members/570/</author_url><title>Causal Machine Learning - ARC</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="9dVCbqrjco"&gt;&lt;a href="https://eaa-online.org/arc/events/causal-machine-learning"&gt;Causal Machine Learning&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://eaa-online.org/arc/events/causal-machine-learning/embed/#?secret=9dVCbqrjco" width="600" height="338" title="&#x201C;Causal Machine Learning&#x201D; &#x2014; ARC" data-secret="9dVCbqrjco" 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>31. August bis 03. September 2026 | Hamburg Registration deadline: August 2nd, 2026 While AI and Machine Learning are mainly tailored for predictions, based on correlations, many important questions in industry and research are causal questions. Examples are pricing, marketing mix modelling, resource allocation, to name a few, or many questions in Corporate Finance, Human [&hellip;]</description></oembed>
