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Make Data Work
Oct 15–17, 2014 • New York, NY
Alice Zheng

Alice Zheng
Senior Manager, Applied Science, Amazon

Website | @RainyData

Alice is the Director of Data Science at GraphLab, a Seattle-based startup that offers powerful large-scale machine learning and graph analytics tools. She loves playing with data and enabling others to play with data. She is a tool builder and an expert in Machine Learning algorithms. Her research spans software diagnosis, computer network security, and social network analysis. Prior to joining GraphLab, she was a researcher at Microsoft Research, Redmond. She holds Ph.D. and B.A. degrees in Computer Science, and a B.A. in Mathematics, all from U.C. Berkeley.

Sessions

9:00am–5:00pm Wednesday, 10/15/2014
SOLD OUT
Hardcore Data Science
Location: 1 E14/1 E15
Ben Lorica (O'Reilly Media), Ted Dunning (MapR Technologies), Tim Kraska (Brown University), Alice Zheng (Amazon), Anna Gilbert (University of Michigan), Jon Kleinberg (Cornell University), Kira Radinsky (eBay | Technion), Rob Fergus (New York University and Facebook), Ben Recht (University of California, Berkeley), Brian Whitman (Spotify), Hanna Wallach (Microsoft Research NYC & University of Massachusetts Amherst), Dafna Shahaf (The Hebrew University of Jerusalem)
Average rating: ****.
(4.27, 15 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.
10:00am–10:30am Wednesday, 10/15/2014
Hardcore Data Science
Location: E14 / E15
Alice Zheng (Amazon)
Average rating: **...
(2.75, 8 ratings)
As humans, we want to understand the rationale behind data analysis models, which can often be conceptually challenging. In this session, we dive into common data operations and analysis methods to develop deeper knowledge of feature spaces and models. We take the perspective of how data appears to machines, in order to become more effective at using machines to model and analyze data. Read more.
1:30pm–5:00pm Wednesday, 10/15/2014
SOLD OUT
Data Science
Location: 1 C03/1 C04
Carlos Guestrin (Apple | University of Washington ), Alice Zheng (Amazon), Shawn Scully (Dato)
Average rating: **...
(2.50, 10 ratings)
This tutorial focuses on hands-on data science skills from prototyping to production. Using GraphLab tools, we walk through multiple case studies such as fraud detection, social network analysis, and building personalized recommendation services. Read more.
10:30am–11:00am Friday, 10/17/2014
Office Hour
Location: Table F
Alice Zheng (Amazon)
Alice is an expert in machine learning algorithms (among other things), and she’s ready to increase your understanding of how ML algorithms work. She’ll teach you some practical data science tips, and help you scale up data science on big data. Stop by and chat! Read more.