April's meetup will feature on Collaborative Filtering at scale, and Algorithms on Hadoop at Last.fm. In this talk, Sean Owen goes though an introduction to the Mahout project and how it achieves collaborative filtering at scale.
YOU MAY ALSO LIKE:
- Brian Sletten's Data Science with R Workshop (in London on 2nd - 4th July 2018)
- Infiniteconf 2018 - The conference on Big Data and AI (in London on 5th - 6th July 2018)
- Fast Track to Machine Learning with Louis Dorard (in London on 3rd - 5th September 2018)
- Lightbend Apache Spark for Scala - Professional (in London on 11th - 12th December 2018)
Collaborative Filtering at Scale
Sean is Director of Data Science at Cloudera in London. Before Cloudera, he founded Myrrix Ltd (now, the Oryx project) to commercialize large-scale real-time recommender systems on Apache Hadoop. He is an Apache Spark committer and co-authored Advanced Analytics on Spark. He was a committer and VP for Apache Mahout, and co-author of Mahout in Action. Previously, Sean was a senior engineer at Google.