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<p class="MsoNormal"><span style="font-size:12.0pt">Dear All,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">We are pleased to announce that the following SIB course on:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><b><span style="font-size:12.0pt;color:red">Introduction to Machine Learning with Python<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">which will be streamed from Basel on
</span><span style="font-size:12.0pt">4 - 5 October 2021 </span><span style="font-size:12.0pt">is now open for applications.<o:p></o:p></span></p>
<p class="MsoNormal"><br>
<span style="font-size:12.0pt">With the rise of new technologies, the volume of omics data in the fields of biology and medicine has grown exponentially in recent times and a major issue is to mine useful predictive knowledge from these data. Machine learning
(ML) is a discipline in which computer algorithms perform automated learning by using data in order to assist humans to deal with the large volume of multidimensional data. The analysis of such data is not trivial and ML is a necessary tool to extract knowledge
and make predictions that can advance the field of bioinformatics.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">This 2-day course will introduce participants to common ML algorithms and teach how to apply them to omics data in extensive practical sessions. This course is intended for PhD students, post-docs and staff
scientists who are interested in applying ML to analyze these data.<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:12.0pt">Further detailed information, prerequisites and application form are available
<a href="https://www.sib.swiss/training/course/20211004_INMLP">here</a>.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">Should you have any questions, please don't hesitate to contact us at
<a href="mailto:training@sib.swiss">training@sib.swiss</a>. <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">Kind regards,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt">Monique<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b><span style="font-size:9.0pt;font-family:"Helvetica",sans-serif">--<br>
Monique Zahn, PhD<br>
SIB Training<br>
<span style="color:red">SIB</span> | Swiss Institute of Bioinformatics<br>
Quartier Sorge, Bâtiment Amphipôle - 1015 Lausanne - Switzerland<br>
<a href="mailto:monique.zahn@sib.swiss">monique.zahn@sib.swiss</a> - <a href="http://www.sib.swiss">
www.sib.swiss</a></span></b><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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