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<p>Dear all, </p>
<p>We are pleased to announce the following SIB course on: <br>
</p>
<p align="center"><font color="#ff0000"><b>Introduction to Machine
Learning, 22 - 23 July 2020, streamed</b><b><span style="font-size: 11pt; font-family: Arial; background-color: transparent; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-variant-east-asian: normal; font-variant-position: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">. </span></b></font></p>
With the rise in high-throughput sequencing technologies, the volume
of omics data has grown exponentially in recent times and a major
issue is to mine useful knowledge from these data which are also
heterogeneous in nature. Machine learning (ML) is a discipline in
which computers perform automated learning without being programmed
explicitly and assist humans to make sense of large and complex data
sets. The analysis of complex high-volume data is not trivial and
classical tools cannot be used to explore their full potential.
Machine learning can thus be very useful in mining large omics data
sets to uncover new insights that can advance the field of
bioinformatics.<br>
<br>
This 2-day course will introduce participants to the machine
learning taxonomy and the applications of common machine learning
algorithms to omics data. The course will cover the common methods
being used to analyze different omics data sets by providing a
practical context through the use of basic but widely used R
libraries. The course will comprise a number of hands-on exercises
and challenges where the participants will acquire a first
understanding of the standard ML processes, as well as the practical
skills in applying them on familiar problems and publicly available
real-world data sets.<br>
<p>Further detailed information, prerequisites and application form
are available <a
href="https://www.sib.swiss/training/course/2020-07-machine-learning"
moz-do-not-send="true">here</a>.</p>
<p>Should you have any questions, please don't hesitate to contact
us at <a class="moz-txt-link-abbreviated"
href="mailto:training@sib.swiss" moz-do-not-send="true">training@sib.swiss</a>.
</p>
<p>Have a nice day,</p>
<p>Monique</p>
<p><font style="font-size:12px" face="Helvetica, Arial, sans-serif"><b><font
style="font-size:12px" face="Helvetica, Arial, sans-serif"><b>--<br>
<font style="font-size:12px" face="Helvetica, Arial,
sans-serif"><b><font style="font-size:12px"
face="Helvetica, Arial, sans-serif"><b><b>Monique
Zahn, PhD<br>
SIB Training<br>
</b> <b><span style="color:#f00;">SIB</span> |
Swiss Institute of Bioinformatics</b><br>
Quartier Sorge, Bâtiment Amphipôle - 1015 Lausanne
- Switzerland<br>
<a class="moz-txt-link-abbreviated"
href="mailto:patricia.palagi@sib.swiss">monique.zahn@sib.swiss</a>
- <a class="moz-txt-link-abbreviated"
href="http://www.sib.swiss">www.sib.swiss</a> </b></font></b></font></b></font></b></font></p>
<br>
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