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  <div class="vevent h-event"> <h1 class="summary p-name">PSU Tech Talk: Write your own Bayesian Classifier: An Introduction to Machine Learning</h1> <div class='date'><time class="dtstart dt-start" title="2013-03-01T16:30:00" datetime="2013-03-01T16:30:00">Friday, March 1, 2013 from 4:30</time>–<time class="dtend dt-end" title="2013-03-01T17:30:00" datetime="2013-03-01T17:30:00">5:30pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202391953'><span class='fn org p-name'>Portland State University FAB, Room 86-09</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">1900 SW Fourth Avenue</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">Oregon</span> <span class="postal-code p-postal-code">97201</span> <div class="country-name p-country-name">US</div> (<a href='https://maps.google.com/maps?q=1900%20SW%20Fourth%20Avenue,%20Portland%20Oregon%2097201%20US'>map</a>) </div> </div> <div class="description p-description"> <p>Through the implementation of an honest-to-goodness Bayesian classifier, we’ll tour the major topics of supervised machine learning: tokenization, feature selection and vectorization, model training and tuning, and execution. Time permitting, we’ll touch on other techniques and topics.</p> <p>About the speaker:</p> <p>John Melesky’s been programming on the web since gopher was a legitimate competitor. He is the team lead for the Analytics team at Janrain, where he gets to get his hands covered in all sorts of interesting data.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="http://acm.pdx.edu/">Website</a></li> </ul> </div>