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Hello Everyone,</div>
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Please see below for details on the upcoming Data Science/Machine Learning journal club.</div>
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-Your GAPS</div>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" color="#000000" style="font-size:11pt"><b>From:</b> Eric Drechsler <edrechsler@triumf.ca><br>
<b>Sent:</b> Monday, November 2, 2020 05:42 PM<br>
<b>To:</b> Gaps <gaps@triumf.ca><br>
<b>Subject:</b> Interested in Data Science? Join us!</font>
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<p>Hey, could you please distribute the mail below? Thanks! :)<br>
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<p>Hey there!<br>
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Looking to extend your coffee breaks while your Machine Learning algorithm does the heavy lifting? Is your loss function giving you a headache? Or are you just wondering what all that AI hubbub is about?
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<img src="https://imgs.xkcd.com/comics/trained_a_neural_net.png"><br>
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The TRIUMF Data Science group is here to help you out! On a biweekly basis, we get together to discuss Machine Learning publications relevant to our research projects and benefit from each others experience and insights. Divergent gradients? Been there! Complicated
ML paper full of statistics? Seen those! NANs instead of results? Got some of that too.
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We are currently collecting contributions for our next meeting on November, 18th at 3:30pm. If you have a publication in mind, that you always wanted to discuss and would help you in your research, please send the
<b>paper proposal</b> to me [1] until this <b>Friday, November 6th</b>, or post to our slack channel [2]. We have a dedicated mailing list too [3], which you should join for exciting news on the Data Science frontier.<br>
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01000011 01101000 01100101 01100101 01110010 01110011,<br>
Your DSG<br>
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[1] <a class="x_moz-txt-link-abbreviated" href="mailto:edrechsl@triumf.ca">edrechsl@triumf.ca</a><br>
[2] triumf-ds.slack.com<br>
[3] <a class="x_moz-txt-link-abbreviated" href="mailto:learn-data-science@lists.triumf.ca">
learn-data-science@lists.triumf.ca</a><br>
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