Scalable Data Science on a Laptop
Date: This event took place live on June 24 2014
Presented by: Alice Zheng
Duration: Approximately 60 minutes.
Questions? Please send email to
Hosted By: Ben Lorica
Here is what data science looks like today:
In this webcast, we'll demonstrate doing scalable data science using GraphLab Create, an end-to-end platform for prototyping and deploying data products. You can munge data, query statistics, build sophisticated models, and deploy to the cloud, all from *one* platform—your laptop. With disk-backed data stores, an intuitive Python front-end and efficient C++ back-end, GraphLab Create squeezes out all the power from a single machine, which can be orders of magnitude faster than MapReduce.
About Alice Zheng
Alice is the Director of Data Science at GraphLab, a Seattle-based startup that offers scalable data analytics tools. Alice likes to play with data and enable others to play with data. She is a tool builder and an expert in Machine Learning. 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.
About Ben Lorica
Ben Lorica is the Chief Data Scientist and Director of Content Strategy for Data at O'Reilly Media, Inc.. He 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. He writes regularly about Big Data and Data Science on the O'Reilly Data blog.
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