Every month Indeed's engineering team presents on something interesting that they're working on, and this month the talk is on decision trees. Let's crash their party, eh?
(Indeed's office is out on Hwy 360. We are not hosting this one at BlackLocus. see http://go.indeed.com/directions)
*Machine Learning at Indeed: Scaling Decision Trees* (RSVP at http://indeedeng2014feb26-aml.eventbrite.com/ ) Decision trees are a widely used machine learning technique for supervised classification. Indeed's data sets consist of tens of billions of documents with millions of distinct features. Since decision trees back some of our most important features, we built a custom distributed system to efficiently train them. Every day, we now build dozens of decision trees across this data. This same system now powers our internal analytical tools that enable quick data-driven decision-making at Indeed. Join us for a brief introduction to decision trees followed by a detailed overview of our approach to building them. The talk will be presented by our CTO, Andrew Hudson. We will broadcast a live simulcast of this @IndeedEng talk. If you can't join us in person, tune in to http://go.indeed.com/IndeedEngTalks from wherever you are online.