Past Meetup

Princeton Tech Meetup #20 w/ Kaiser Fung

This Meetup is past

160 people went

Price: $5.00 /per person

Location visible to members

Details

Topic: Big Data

Speaker: Kaiser Fung - VP, Business Intelligence and Analytics at Vimeo

Agenda:

7:00 - Arrival - Snacks, Pizza and Networking.
7:30 - Introduction / Announcements by the organizers.
7:45 - Demo 1 - Apply to present (http://bit.ly/ptm-apply)
7:50 - Demo 2 - Apply to present (http://bit.ly/ptm-apply)
7:55 - Demo 3 - Apply to present (http://bit.ly/ptm-apply)
8:00 - Big Data - Kaiser Fung
8:45 - Open-mic to quickly promote your business or broadcast a need that someone in the group might be able to fill.
8:55 - Wrap-Up, discussion of Meetup, feedback and opportunities for improvement or future topics.
8:59 - End of formal part of meeting.
9:00 - Exit Venue and head to After Hours Party - Location: TBA
More about the Speaker
Kaiser Fung is a recognized expert and speaker in business analytics, and data visualization. He leads the Business Intelligence and Analytics team at Vimeo, the destination for high-quality videos. Previously, he built or managed data science teams for Internet, entertainment and financial services companies, such as SiriusXM Radio, [X+1] and American Express.
Fung is excited to return to Princeton, where he graduated summa cum laude in Operations Research. He also holds graduate degrees from Harvard Business School and Cambridge University.
Fung is the author of two popular books on statistical thinking, including the recently-released Numbersense: How to Use Big Data to Your Advantage (McGraw-Hill). He also founded the acclaimed Junk Charts blog, pioneering the critical examination of graphics in the mass media. He is an adjunct professor at New York University teaching practical statistics.
In this talk, Fung will discuss the following topics:
1. What is numbersense, and why it is needed in the Big Data era
2. How to move beyond defining Big Data as lots of data
3. Some of the analytical challenges brought on by Big Data
4. Opportunities for merging Big Data with statistics
5. Interpreting Big Data studies
After the talk, Fung will be available for book signing.