Machine Learning at Indeed: Scaling Decision Trees
This talk was held on Wednesday, February 26, 2014 at 7:00pm
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.
Speaker
Andrew Hudson is Indeed's Chief Technology Officer. He has been developing Indeed search infrastructure since 2005.