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  <div class="vevent h-event"> <h1 class="summary p-name">PDX Big Data Discussion Group</h1> <div class='date'><time class="dtstart dt-start" title="2015-07-16T18:30:00" datetime="2015-07-16T18:30:00">Thursday, July 16, 2015 from 6:30</time>–<time class="dtend dt-end" title="2015-07-16T20:30:00" datetime="2015-07-16T20:30:00">8:30pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202394770'><span class='fn org p-name'>Yieldbot</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">1033 SE Main St, Suite #4</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">OR</span> <span class="postal-code p-postal-code">97214</span> <div class="country-name p-country-name">US</div> (<a href='https://maps.google.com/maps?q=1033%20SE%20Main%20St,%20Suite%20%234,%20Portland%20OR%2097214%20US'>map</a>) </div> </div> <div class="description p-description"> <p>"No talks. You may opt to take up to 60 seconds to complain about Big Data. One paper per month, no obligation to read it."</p> <p>We'll start by letting anyone who wants to take up to a minute to tell us what they've been doing with data lately.</p> <p>This month's paper is <a href="http://papers.nips.cc/paper/2540-gaussian-process-latent-variable-models-for-visualisation-of-high-dimensional-data.pdf">Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data</a> by Lawrence. Read it or don't - the goal is just to have something to start conversations. "Did you read the paper?" will do nicely.</p> <p>Mention @PDXBigData on Twitter with the link to the full paper to suggest papers for future sessions.</p> <p>There will be food.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://twitter.com/pdxbigdata">Website</a></li> </ul> </div>