Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA
David Andrzejewski

David Andrzejewski
Lead Data Sciences Engineer, Sumo Logic

Website | @davidandrzej

Lead Data Sciences Engineer at Sumo Logic and co-organizer of SF Bay Area Machine Learning meetup group.



9:00am–5:00pm Wednesday, 02/18/2015
Hardcore Data Science
Location: LL20 BC
Ben Lorica (O'Reilly), Ben Recht (University of California, Berkeley), Chris Re (Stanford University | Apple), Maya Gupta (Google), Alyosha Efros (UC Berkeley), Eamonn Keogh (University of California - Riverside), John Myles White (Facebook), Fei-Fei Li (Stanford University), Tara Sainath (Google), Michael Jordan (UC Berkeley), Anima Anandkumar (UC Irvine), John Canny (UC Berkeley), David Andrzejewski (Sumo Logic)
Average rating: ****.
(4.86, 7 ratings)
All-Day: Strata's regular data science track has great talks with real world experience from leading edge speakers. But we didn't just stop there—we added the Hardcore Data Science day to give you a chance to go even deeper. The Hardcore day will add new techniques and technologies to your data science toolbox, shared by leading data science practitioners from startups, industry, consulting... Read more.
3:30pm–4:00pm Wednesday, 02/18/2015
Hardcore Data Science
Location: LL20 BC.
David Andrzejewski (Sumo Logic)
Average rating: ***..
(3.60, 5 ratings)
Many of the millions of events logged inside a given software system are not isolated occurrences, but rather links in richly interconnected causal chains. However, classic SQL-style aggregation cannot easily capture this underlying structure. This talk discusses how graph mining techniques can surface high-value insights from the relationships between logged events. Read more.