Session eValais.ch : Data Science Learnathon: From Raw Data to Deployment

The Valais (Switzerland) is full of IT-professionals, students, scientists and computer enthusiasts.eValais.ch wishes to offer a platform for the exchange of technical knowledge through periodic meetings. Curiosity, networking, finding partners are all good reasons to attend these events.

eValais.ch - Valais Tech Scene

<H4>This will be a <STRONG>Learnathon</STRONG> kind of workshop. It is a <STRONG>free</STRONG> event and open to <STRONG>everybody</STRONG> who is interested.<BR></H4>
<HR>
<P><BR></P>
<P>What is a learnathon? A learnathon is in between a hackathon and a workshop. It’s like a workshop because we’ll learn more about the data science cycle - data access, data blending, data preparation, model training, optimization, testing, and deployment. It’s like a hackathon because we’ll work in groups to hack a workflow-based solution to guided exercises.<BR><BR>During the learnathon we will cover the whole data science cycle, from the raw data to the final application on a production machine. That is: data access, data blending, data preparation, model training, optimization, testing, and finally deployment. The tool of choice for this Learnathon is <A HREF="http://knime.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">KNIME</A> Analytics Platform. ( <A HREF="https://www.knime.com/knime-analytics-platform" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://www.knime.com/knime-analytics-platform</A> ). However, because KNIME is open, it offers great integrations with an IDE environment for R, Python; SQL, and Spark.</P>
<P><BR>After an initial introduction to the tool and to the data science cycle, we will split in groups. Each group will focus on one of three aspects of the data science cycle:<BR><BR></P>
<UL>
<LI><STRONG>Group 1</STRONG>. Working on the raw data. Data Access and Data Preparation</LI>
<LI><STRONG>Group 2</STRONG>. Machine Learning. Which model shall I use? Which parameters?</LI>
<LI><STRONG>Group 3</STRONG>. I have a great model. Now what? This is the Model Deployment phase</LI>
</UL>
<P><BR>We will provide a few datasets, jump-start workflows and final solutions for the proposed tasks, and of course data science experts. Please bring your own laptop with KNIME Analytics Platform pre-installed. To install KNIME Analytics Platform, follow the instructions provided in these YouTube videos:<BR><BR>Windows (<A HREF="https://youtu.be/yeHblDxakLk" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://youtu.be/yeHblDxakLk</A>)<BR>Mac (<A HREF="https://youtu.be/1jvRWryJ220" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://youtu.be/1jvRWryJ220</A>)<BR>Linux (<A HREF="https://youtu.be/wibggQYr4ZA" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://youtu.be/wibggQYr4ZA</A>)<BR><BR>If you would like to get familiar with KNIME Analytics Platform, you can explore the content of our E-learning course (<A HREF="https://www.knime.com/knime-introductory-course" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://www.knime.com/knime-introductory-course</A>).<BR><BR>Please also download the workshop material (jump-start workflows and instructions) from here (<A HREF="https://www.dropbox.com/s/f9wqpyfxjxvlgo0/Learnathon_2018.knar?dl=0" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://www.dropbox.com/s/f9wqpyfxjxvlgo0/Learnathon_2018.knar?dl=0</A>).<BR>We will import this material during the Learnathon.<BR><BR><STRONG>Here's a more detailed AGENDA of the event.</STRONG><BR></P>
<UL>
<LI>6:00-6:20 PM: Reception</LI>
<LI>6:20-6:30 PM: Welcome by <STRONG><A HREF="https://www.linkedin.com/in/domsgenoud/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Dominique Genoud</A></STRONG>, Professor @ HES-SO Valais-Wallis</LI>
<LI>6:30-6:50 PM: Introduction to KNIME Analytics Platform by <STRONG><A HREF="https://www.linkedin.com/in/jerometreboux/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Jérôme Treboux</A></STRONG> PhD Studend @ HES-SO Valais-Wallis</LI>
<LI>6:50-7:10 PM: Presentation: The Data Science Cycle: From raw data to deployment by <A HREF="https://www.linkedin.com/in/rosaria/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer"><STRONG>Rosaria Silipo</STRONG></A> @ KNIME</LI>
<LI>7:10-7:20 PM: Data sets and task presentation; group formation</LI>
<LI>7:20-10:00 PM : Let’s work & learn!</LI>
<LI>10:00 PM : Networking<BR></LI>
</UL>
<P><STRONG>Free admission but registration required</STRONG></P>
<P><STRONG>Adresse:  HES-SO Valais-Wallis - Rte de la Plaine 2 - Sierre - Room 405/6</STRONG></P>
<P><STRONG>Partners</STRONG> : <A HREF="http://knime.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">KNIME</A>, <A HREF="http://eValais.ch" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">eValais.ch</A>, <A HREF="https://www.hevs.ch/dude-lab" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">HES-SO Valais-Wallis</A>, <A HREF="http://www.theark.ch/fr/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Fondation The Ark</A><BR></P>
<P><STRONG>Are you ready to learn?</STRONG></P>
<P> </P>
<DIV CLASS="eb_sched_open"><BR></DIV>
<DIV CLASS="list-person g-group"><BR CLASS="has-user-generated-content">
<UL ITEMPROP="performers">
<LI ITEMPROP="performer" ITEMSCOPE="" ITEMTYPE="http://schema.org/Person" CLASS="g-cell g-cell-1-1 g-cell-md-1-3 g-cell-lg-1-3">
<DIV CLASS="avatar avatar--flexible"><IMG ITEMPROP="image" ALT="Rosaria Silipo" SRC="https://avatars.schd.ws/1/d8/5528360/avatar.jpg.320x320px.jpg?0d0"></DIV>
<H4 CLASS="list-person__name" ITEMPROP="name"><A HREF="https://www.linkedin.com/in/rosaria/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Rosaria Silipo</A></H4>
<P CLASS="list-person__company" ITEMPROP="worksFor"><STRONG><A HREF="http://knime.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">KNIME</A></STRONG></P>
<P CLASS="list-person__role" ITEMPROP="jobTitle">Principal Data Scientist</P>
</LI>
<LI ITEMPROP="performer" ITEMSCOPE="" ITEMTYPE="http://schema.org/Person" CLASS="g-cell g-cell-1-1 g-cell-md-1-3 g-cell-lg-1-3">
<DIV CLASS="avatar avatar--flexible"><IMG ITEMPROP="image" ALT="Dominique Genoud" SRC="https://avatars.schd.ws/4/e2/5528346/avatar.jpg.320x320px.jpg?695"></DIV>
<H4 CLASS="list-person__name" ITEMPROP="name"><A HREF="https://www.linkedin.com/in/domsgenoud/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Dominique Genoud</A></H4>
<P CLASS="list-person__company" ITEMPROP="worksFor"><STRONG><A HREF="https://www.hevs.ch/dude-lab" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">HES-SO Valais-Wallis</A></STRONG></P>
<P CLASS="list-person__role" ITEMPROP="jobTitle">Professor</P>
</LI>
<LI ITEMPROP="performer" ITEMSCOPE="" ITEMTYPE="http://schema.org/Person" CLASS="g-cell g-cell-1-1 g-cell-md-1-3 g-cell-lg-1-3">
<DIV CLASS="avatar avatar--flexible"><IMG ITEMPROP="image" ALT="Jérôme Treboux" SRC="https://avatars.schd.ws/4/97/5528330/avatar.jpg.320x320px.jpg?73e"></DIV>
<H4 CLASS="list-person__name" ITEMPROP="name"><A HREF="https://www.linkedin.com/in/jerometreboux/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Jérôme Treboux</A></H4>
<P CLASS="list-person__company" ITEMPROP="worksFor"><STRONG><A HREF="https://www.hevs.ch/dude-lab" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">HES-SO Valais-Wallis</A></STRONG></P>
<P CLASS="list-person__role" ITEMPROP="jobTitle">PhD Student</P>
</LI>
</UL>
</DIV>
<DIV CLASS="eb_sched_close"><BR></DIV>

HES-SO Valais-Wallis - Campus de Bellevue

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Session eValais.ch : Data Science Learnathon: From Raw Data to Deployment

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Session eValais.ch : Data Science Learnathon: From Raw Data to Deployment

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