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(This article was first published on <strong><a href="http://datascience.la/meetup-machine-learning-in-production-with-szilard-pafka/"> R – Data Science Los Angeles</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p><b>Machine Learning in Production<br>
by Szilard Pafka</b></p>
<p>In this talk I will discuss the main steps involved in having machine learning models in production. No hype (“artificial intelligence”), no bullshitting and no marketing of expensive products (the best tools are all open source and free, you just need to know what you are doing).</p>
<p>Bio: Szilard has trained, deployed and maintained machine learning models in production (starting with random forests) since 2007. He’s a Chief Scientist and a Physics PhD with 20+ years experience with data, computing and modeling. He founded the first data meetup in LA in 2009 (by chance) and he has organized several data science events since.</p>
<p><b>We’ll also have a lightning talk (10-mins) before the main talk:</b></p>
<p>Opening the black box: Attempts to understand the results of machine learning models<br>
by Michael Tiernay, Data Scientist at Edmunds</p>
<p><b>Timeline:</b></p>
<p>– 6:30pm arrival, food/drinks and networking<br>
– 7:30pm talks<br>
– 9 pm more networking</p>
<p>You must have a confirmed RSVP and please arrive by 7:25pm the latest. Please RSVP here on <a target="_blank" rel="nofollow" href="https://www.eventbrite.com/e/machine-learning-in-production-tickets-33472568353">Eventbrite</a>.</p>
<p><b>Venue: </b>Edmunds, 2401 Colorado Avenue (this is Edmunds’ NEW LOCATION, don’t go to the old one)<br>
Park underneath the building (Colorado Center), Edmunds will validate.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://datascience.la/meetup-machine-learning-in-production-with-szilard-pafka/"> R – Data Science Los Angeles</a></strong>.</div>
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