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<p>Hey there!<br>
<br>
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? <br>
<br>
<img src="https://imgs.xkcd.com/comics/trained_a_neural_net.png"><br>
<br>
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. <br>
<br>
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>
<br>
01000011 01101000 01100101 01100101 01110010 01110011,<br>
Your DSG<br>
<br>
[1] <a class="moz-txt-link-abbreviated" href="mailto:edrechsl@triumf.ca" moz-do-not-send="true">edrechsl@triumf.ca</a><br>
[2] triumf-ds.slack.com<br>
[3] <a class="moz-txt-link-abbreviated" href="mailto:learn-data-science@lists.triumf.ca" moz-do-not-send="true">learn-data-science@lists.triumf.ca</a><br>
<br>
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