<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/7th-milanor-meeting-october-27/"></div></div><div><a data-url="https://www.r-bloggers.com/7th-milanor-meeting-october-27/" data-counturl="https://www.r-bloggers.com/7th-milanor-meeting-october-27/" data-count="horizontal" data-text="7th MilanoR Meeting: October 27" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://www.milanor.net/blog/7th-milanor-meeting-october-27/"> MilanoR</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<div>
<p>MilanoR Staff is happy to announce the next MilanoR Meeting.</p>
<p><img sizes="(max-width: 128px) 100vw, 128px" title="grey_new_seo-39-128" alt="" class="wp-image-1564" src="https://i0.wp.com/www.milanor.net/blog/wp-content/uploads/2014/11/grey_new_seo-39-128.png?resize=128%2C128" data-recalc-dims="1"></p>
<h2>When</h2>
<p><strong>Thursday, October 27, 2016</strong></p>
<p>from 6,30 to 10 pm<br>
<span></span></p>
<p><img title="grey_new_seo-44-128" alt="" class="wp-image-1564" src="https://i0.wp.com/www.milanor.net/blog/wp-content/uploads/2014/11/grey_new_seo-44-128.png?resize=128%2C128" data-recalc-dims="1"></p>
<div>
<h2>Agenda</h2>
<p><img title="grey_new_seo-09-64" alt="" class="wp-image-1560" src="https://i2.wp.com/www.milanor.net/blog/wp-content/uploads/2014/11/grey_new_seo-09-64.png?resize=70%2C70" data-recalc-dims="1"><strong>Welcome Presentation </strong></p>
<p>by Quantide</p>
<div></div>
<p><img title="grey_new_seo-09-64" alt="" class="wp-image-1560" src="https://i2.wp.com/www.milanor.net/blog/wp-content/uploads/2014/11/grey_new_seo-09-64.png?resize=70%2C70" data-recalc-dims="1"><strong>Talk 1: R and Big Data </strong></p>
<p><strong>Interactive big data analysis with R: SparkR and MongoDB: a friendly walkthrough  </strong>by  Thimoty Barbieri, Marco Biglieri</p>
<div></div>
<p><img title="grey_new_seo-09-64" alt="" class="wp-image-1560" src="https://i2.wp.com/www.milanor.net/blog/wp-content/uploads/2014/11/grey_new_seo-09-64.png?resize=70%2C70" data-recalc-dims="1"><strong>Talk 2: R and Statistical Learning </strong></p>
<p><strong>Power consumption prediction based on statistical learning techniques</strong></p>
<p>by Davide Pandini</p>
<div></div>
</div>
<p><img sizes="(max-width: 128px) 100vw, 128px" title="grey_new_seo-13-128" alt="" class="wp-image-1562" src="https://i1.wp.com/www.milanor.net/blog/wp-content/uploads/2014/11/grey_new_seo-13-128.png?resize=128%2C128" data-recalc-dims="1"></p>
<h2>Where</h2>
<p><strong>OpenMilano – Sala Slide40</strong><br>
Viale Monte Nero 6, Milano</p>
<p> </p>
<p><img title="grey_new_seo-13-128" alt="" class="wp-image-1562" src="https://i2.wp.com/www.milanor.net/blog/wp-content/uploads/2014/11/pizza-128.png?resize=128%2C128" data-recalc-dims="1"></p>
<h2>Buffet</h2>
<p>Our sponsors will provide the buffet after the meeting.<br>
MilanoR Meeting is sponsored by   <a target="_blank" href="http://www.quantide.com/"><img title="logo_quantide" alt="Quantide" src="https://i2.wp.com/www.milanor.net/blog/wp-content/uploads/2012/05/logo_quantide.jpg?resize=129%2C40" data-recalc-dims="1"></a></p>
<p> </p>
<p>MilanoR Meeting is a free event, open to all R users and enthusiasts or those who wish to learn more about R. Places are limited so, if you would like to attend to the MilanoR meeting, <a target="_blank" href="https://www.eventbrite.it/e/7th-milanor-meeting-tickets-28327051975?aff=es2">please register here</a>.</p>
<h2>—— FAQ</h2>
<h3><strong>I want to know more about the talks..</strong></h3>
<p><strong>R and big data:</strong> Spark and MongoDB are a fantastic opportunity to enhance R with big-processing and big-data features. We present a walkthrough to setup a working environment which will put Spark’s parallel processing and Mongo’s huge data handling capabilities at your fingertips in R. We will discuss the main features of SparkR with MongoDB and provide a toy example.</p>
<p><strong>R and statistical learning:</strong> In the semiconductor industry, early power estimation is a critical requirement for Systems-on-Chip architects and marketing, which must provide competitive, yet realistic, power consumption quotations to customers in order to achieve design wins. In this talk, we will present an innovative approach for early power consumption estimation based on statistical learning techniques. The proposed statistical model has been developed in R and validated on two taped-out products for networking in leading-edge CMOS technology.</p>
<h3><strong>..and the speakers..</strong></h3>
<p><strong>Thimoty Barbieri</strong> is contract professor of Software Engineering at the University of Pavia. He is a Certified Mongo DB Developer and Administrator. Among his research interests are big data applications in the financial domain. He is an enthusiast R user.</p>
<p><strong>Marco Biglieri</strong> is a Software Engineering undergraduate at University of Pavia. He is currently working at his Master thesis on Big Data processing architectures for interactive analysis of financial data based on the FIX<br>
protocol, using R, SparkR and Mongo DB.</p>
<p><strong>Davide Pandini</strong> holds a Laurea Degree in Electronics Engineering from the University of Bologna, a Ph.D. in Electrical Engineering and Telecommunications from the University of Padova, and a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, U.S. He is a design manager and a senior member of the Technical Staff at STMicroelectronics, in Agrate Brianza, responsible for power optimization and integrity in the ASIC Division. Since June 2015 he is the Chairman of the ST Italy Technical Staff.</p>
<h3><strong>…and the sponsor..</strong></h3>
<p><a target="_blank" href="http://www.quantide.com/"><strong>Quantide</strong></a> is a provider of consulting services and training courses about Data Science and Big Data. It’s specialized in R, the open source software for statistical computing. Headquartered in Legnano, near Milan (Italy), Quantide has been supporting for 9 years customers from several industries around the world. Quantide is the founder and the supporter of the Milano R meeting, since its first edition in 2012.</p>
<p>For any further informations you can contact us at admin@milanor.net</p>
</div>
<p>The post <a target="_blank" rel="nofollow" href="http://www.milanor.net/blog/7th-milanor-meeting-october-27/">7th MilanoR Meeting: October 27</a> appeared first on <a target="_blank" rel="nofollow" href="http://www.milanor.net/blog">MilanoR</a>.</p>
<p><div><div><div><div data-width="55" data-show-faces="false" data-send="true" data-layout="box_count" data-height="62" data-href="https://www.r-bloggers.com/7th-milanor-meeting-october-27/"></div></div><div><a data-url="https://www.r-bloggers.com/7th-milanor-meeting-october-27/" data-counturl="https://www.r-bloggers.com/7th-milanor-meeting-october-27/" data-count="vertical" data-text="7th MilanoR Meeting: October 27" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://www.milanor.net/blog/7th-milanor-meeting-october-27/"> MilanoR</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a title="The R Project for Statistical Computing" rel="nofollow" href="https://www.r-project.org/">R</a> news and <a title="R tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=tutorial">tutorials</a> on topics such as: <a title="Data science" rel="nofollow" href="https://www.r-bloggers.com/?s=data%20science">Data science</a>, <a title="Big Data" rel="nofollow" href="https://www.r-bloggers.com/?s=Big%20Data">Big Data, <a title="R jobs" rel="nofollow" href="https://www.r-users.com/">R jobs</a>, visualization (<a title="ggplot and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=ggplot2">ggplot2</a>, <a title="Boxplots using lattice and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=boxplot">Boxplots</a>, <a title="Maps and gis" rel="nofollow" href="https://www.r-bloggers.com/?s=map">maps</a>, <a title="Animation in R" rel="nofollow" href="https://www.r-bloggers.com/?s=animation">animation</a>), programming (<a title="RStudio IDE for R" rel="nofollow" href="https://www.r-bloggers.com/?s=RStudio">RStudio</a>, <a title="Sweave and literate programming" rel="nofollow" href="https://www.r-bloggers.com/?s=sweave">Sweave</a>, <a title="LaTeX in R" rel="nofollow" href="https://www.r-bloggers.com/?s=LaTeX">LaTeX</a>, <a title="SQL and databases" rel="nofollow" href="https://www.r-bloggers.com/?s=SQL">SQL</a>, <a title="Eclipse IDE for R" rel="nofollow" href="https://www.r-bloggers.com/?s=eclipse">Eclipse</a>, <a title="git and github, Version Control System" rel="nofollow" href="https://www.r-bloggers.com/?s=git">git</a>, <a title="Large data in R using Hadoop" rel="nofollow" href="https://www.r-bloggers.com/?s=hadoop">hadoop</a>, <a title="Web Scraping of google, facebook, yahoo, twitter and more using R" rel="nofollow" href="https://www.r-bloggers.com/?s=Web+Scraping">Web Scraping</a>) statistics (<a title="Regressions and ANOVA analysis tutorials" rel="nofollow" href="https://www.r-bloggers.com/?s=regression">regression</a>, <a title="principal component analysis tutorial" rel="nofollow" href="https://www.r-bloggers.com/?s=PCA">PCA</a>, <a title="Time series" rel="nofollow" href="https://www.r-bloggers.com/?s=time+series">time series</a>, <a title="finance trading" rel="nofollow" href="https://www.r-bloggers.com/?s=trading">trading</a>) and more...
<img height="1" alt="" width="1" src="http://feeds.feedburner.com/~r/RBloggers/~4/FSLBA-XxWK8"></a></div>