My objective is to make distributed systems and machine learning accessible to any organization or individual that wants to transform the world through data.
I am currently VP of Product Management at Argyle Data focused on petabyte-scale risk management applications using machine learning and Hadoop. Previously I held senior engineering and product management roles at Alpine Data Labs, Endeca and Oracle.
I am a contributor to the Apache Accumulo project and the organizer of San Francisco Machine Learning Meetup group.
Room: N-125 | Time: 5:00pm - 5:50pm
Vowpal Wabbit (VW) is one of the hidden gems of machine learning. It represents the state of the art in scalable, fast, efficient machine learning. We will cover how to build Internet-scale machine learning models from data sets that are both tall (millions/billions of examples) and wide (many thousands of features).