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<div style="margin-top:0;margin-bottom:0;">Reminder of the seminar happening today in
<b>15 minutes </b>at<b> 10:30 </b>in room <b>FC 61</b> (AlbaNova building, 6th floor) and on zoom.</div>
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<div style="margin-top:0;margin-bottom:0;"><i>Speaker:</i> <b>Gregor Traven - </b>
University of Ljubljana<br>
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<div><font size="3" face="Calibri,Arial,Helvetica,sans-serif,serif,EmojiFont" color="black"><span style="font-size:12pt;"><i>Title:</i><b><i> Machine learning in stellar physics</i></b><br>
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<div><font size="3" face="Calibri,Arial,Helvetica,sans-serif,serif,EmojiFont" color="black"><span style="font-size:12pt;"><i>Abstract:</i><br>
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<div><font size="3" face="Calibri,Arial,Helvetica,sans-serif,serif,EmojiFont" color="black"><span style="font-size:12pt;">I will try to present<span style="background-color:white;">, in a heavily biased way,</span> a broader picture of what machine learning
is and how it can help us in extracting new knowledge from astronomical data. The approach of using ML techniques has become important in recent times as we welcome the flood of big data in almost every field of research, but it is important to know which
methods work well and for which purpose, so I will describe some basics and present some applications of both unsupervised and supervised techniques applied to selected astronomical subjects. At the end we'll also have a look into an interesting and novel
approach of data augmentation with GAN and how it could help in analysis of stellar spectra.</span></font></div>
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<div style="margin-top:0;margin-bottom:0;">See you soon!</div>
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<div style="margin-top:0;margin-bottom:0;">Kris and Eliot<br>
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<div>Topic: Astronomy Department Seminar Gregor Traven</div>
<div>Time: Sept 9, 2022 10:30 AM Stockholm</div>
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<div style="margin-top:0;margin-bottom:0;">Join Zoom Meeting:<br>
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<div style="margin-top:0;margin-bottom:0;"><a href="https://stockholmuniversity.zoom.us/s/61002076352" target="_blank" rel="noopener noreferrer" id="LPlnk650362" previewremoved="true"><span id="LPlnk650362">https://stockholmuniversity.zoom.us/s/61002076352</span></a></div>
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<div style="margin-top:0;margin-bottom:0;">Meeting ID: 610 0207 6352<br>
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