Skip to main content

Giovanni Seni
Data Scientist, Intuit

Giovanni Seni is currently a Senior Data Scientist with Intuit where he leads the Applied Data Sciences team. As an active data mining practitioner in Silicon Valley, he has over 15 years R&D experience in statistical pattern recognition and data mining applications. He has been a member of the technical staff at large technology companies, and a contributor at smaller organizations. He holds five US patents and has published over twenty conference and journal articles. His book with John Elder, “Ensemble Methods in Data Mining – Improving accuracy through combining predictions”, was published in February 2010 by Morgan & Claypool. Giovanni is also an adjunct faculty at the Computer Engineering Department of Santa Clara University, where he teaches an Introduction to Pattern Recognition and Data Mining class.


Data Science Murray Hill Suite
Tutorial Please note: to attend, your registration must include Tutorials on Monday.
Giovanni Seni (Intuit)
Average rating: ***..
(3.44, 9 ratings)
This tutorial, based on a published book by the speaker, offers a hands-on intro to ensemble models, which combine multiple models into a single predictive system that’s often more accurate than the best of its components. Participants will use data sets and snippets of R code to experiment with the methods to gain a practical understanding of this breakthrough technology. Read more.


Sponsorship Opportunities

For exhibition and sponsorship opportunities, contact Susan Stewart at

Media Partner Opportunities

For information on trade opportunities with O'Reilly conferences email mediapartners

Press & Media

For media-related inquiries, contact Maureen Jennings at

Contact Us

View a complete list of Strata + Hadoop World 2013 contacts