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  <div class="vevent h-event"> <h1 class="summary p-name">Machine Learning Operations with Christopher Thompson</h1> <div class='date'><time class="dtstart dt-start" title="2022-01-14T13:00:00" datetime="2022-01-14T13:00:00">Friday, January 14, 2022 from 1</time>–<time class="dtend dt-end" title="2022-01-14T14:00:00" datetime="2022-01-14T14:00:00">2pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202395757'><span class='fn org p-name'>The Tech Academy</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">310 Southwest 4th Avenue</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">OR</span> <span class="postal-code p-postal-code">97204</span> <div class="country-name p-country-name">US</div> (<a href='https://maps.google.com/maps?q=310%20Southwest%204th%20Avenue,%20Portland%20OR%2097204%20US'>map</a>) </div> </div> <div class="description p-description"> <p>Based on recent estimates, it is thought that roughly 90% of machine learning models do not make it into production. Why is this? How hard can it be?</p> <p>Well, it turns out this is not as straightforward as companies originally thought. Enter MLOps, short for machine learning operations.</p> <p>MLOps is the practice of deploying and maintaining machine learning models in production.</p> <p>Join MLOps Engineer Chris Thompson as he explains what MLOps is, why it is desperately needed and how he got into the field!</p> <p>Friday, January 14th at 1pm Pacific Time (2p MT, 3p CT, 4p ET).</p> <p>RSVP on Meetup: bit.ly/Event114 RSVP on Eventbrite: bit.ly/TT114</p> <p>Can't make it live? We will be posting the recording to our Tech Talks playlist on our YouTube Channel: <a href="https://bit.ly/TTA-techtalks">https://bit.ly/TTA-techtalks</a></p> <p>Don't miss this great opportunity to learn and network!</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="http://meet.google.com/erw-giij-ktv">Website</a></li> </ul> </div>