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  <div class="vevent h-event"> <h1 class="summary p-name">Machine Learning in the Cloud: A Geekout Session with Poul Petersen</h1> <div class='date'><time class="dtstart dt-start" title="2016-02-23T19:00:00" datetime="2016-02-23T19:00:00">Tuesday, February 23, 2016 at 7pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202393154'><span class='fn org p-name'>Simple</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">1615 SE 3rd Ave, Suite 200</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=1615%20SE%203rd%20Ave,%20Suite%20200,%20Portland%20OR%2097214%20US'>map</a>) </div> </div> <div class="description p-description"> <p>Corvallis, OR based BigML team has been working for the past four years to democratize machine learning in the cloud – making it more consumable, programmable, and scalable. The net result is an intuitive platform that can be leveraged equally by business analysts, developers and data scientists who are eager to perform a variety of predictive analytics and machine learning tasks.</p> <p> </p><p>In this session, Poul Petersen, Chief Infrastructure Officer at BigML (MLSaas company), will talk about machine learning in the cloud (basics of decision trees, ensembles, association, anomaly, clustering) and how past is predicting the future and is now easier and more accessible than ever thanks to converging trends of open source technologies, cloud-based computing and a growing ‘big data' imperative.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="http://www.meetup.com/Portland-Data-Science-Group/events/228418519/">Website</a></li> </ul> </div>