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Dear all,</div>
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<p class="ContentPasted0 elementToProof">While we are still trying to reschedule the talk on Jan by Steve Brunton, I am excited to announce that our next social will be on Thursday, Feb 9. </p>
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<p class="ContentPasted0 elementToProof">1:00-1:50pm</p>
<p class="ContentPasted0 elementToProof">CSE2 G20</p>
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<p class="ContentPasted0">Our guest speaker will be Professor Marina Meila from the Statistics department. She will talk about</p>
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<p><strong class="ContentPasted0">Unsupervised Learning in the age of Big Data. </strong></p>
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<p class="ContentPasted0">Abstract:</p>
<p class="ContentPasted0">Unsupervised Learning (UL), that is, learning without labeled data, is the least developed arm of Machine Learning. In other words, understanding the structure of data, is the next big milestone in machine learning. I will explain
why this is so, with a motivation on the sciences, and how the data collected by big scientific experiments is both a challenge and an opportunity to advance UL.</p>
<p class="ContentPasted0">Then I will go on to describe some of the questions that my group is working on, such as: how to know when a clustering is correct, non-linear dimension reduction, and modeling preferences, and how a group of ACMS students are participating
in them.</p>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: 10pt; color: rgb(0, 0, 0); background-color: rgba(0, 0, 0, 0);">Best regards,</span><br>
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<span style="font-family: Arial, Helvetica, sans-serif; font-size: 10pt; color: rgb(0, 0, 0); background-color: rgba(0, 0, 0, 0);"><b>Math & ACMS Advising</b></span></div>
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<span style="font-size: 12px;">Department of Mathematics</span></div>
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<span style="font-size: 12px;">Padelford Hall C-36</span></div>
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