Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Ben Lorica

Ben Lorica
Chief Data Scientist, O'Reilly

@bigdata

Ben Lorica is the chief data scientist at O’Reilly. Ben has applied business intelligence, data mining, machine learning, and statistical analysis in a variety of settings, including direct marketing, consumer and market research, targeted advertising, text mining, and financial engineering. His background includes stints with an investment management company, internet startups, and financial services.

Sessions

9:009:05 Wednesday, 23 May 2018
Location: Auditorium
Ben Lorica (O'Reilly), Doug Cutting (Cloudera), Alistair Croll (Solve For Interesting)
Average rating: *....
(1.00, 1 rating)
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the first day of keynotes. Read more.
9:459:55 Wednesday, 23 May 2018
Location: Auditorium Level: Non-technical
Ben Lorica (O'Reilly)
Average rating: **...
(2.91, 11 ratings)
To enable the machine learning applications of the future, there remain many interesting and challenging data problems we need to tackle as a community. Ben Lorica discusses some of the pressing problems we're facing as we collect and store data, particularly in an era when our machine learning models require huge amounts of labeled data. Read more.
9:009:05 Thursday, 24 May 2018
Location: Auditorium
Ben Lorica (O'Reilly), Doug Cutting (Cloudera), Alistair Croll (Solve For Interesting)
Average rating: *....
(1.00, 1 rating)
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the second day of keynotes. Read more.