Oct. 21, 2013 In Mountain View at the Toyota Infotechnology Center, SF Bay ACM held a Toyota Hackathon for the “Quantified Car.” Vehicles generate huge amounts of data and Toyota wants to know how to make the most of this “machine to machine data for people. These ideathons are held to build a developer community for a Streaming Vehicle Data API. Developers will get back together for an all day Hackathon at Hacker Dojo on November 9, 2013. The project was explained by John Mark Agosta, Daisuke Emmanji, Greg Makowski, Yoko Sugisaki and David Weir.
On Saturday, October 13, 2011 in San Jose at eBay, the San Francisco Bay ACM held an unconference Data Mining Camp. ACM Data Mining SIG Chair Patricia Hoffman and organizer Greg Makowski welcomed the crowd. Andrew Ng of Stanford gave the keynote “The Online Revolution: High-Quality Education for Everyone.” He showed how it was possible to teach, grade and accredit millions of students around the world. It may solve the logistical problem of educating seven billion people.
Also on hand were:
Junling Hu on recommender systems are being used by an increasing number of E-commerce sites to help consumers find products to purchase.
Peter Kassakian on Inferring Statistical Structure.
Bob Kirby on Representing Knowledge using Conditional Probabilities and Primitives.
Nick Kolegraff on using Data Zen to battle data dementia.
Dave Nielsen on Big Data Analytics systems such as Apache Drill, Dremal, Druid and IBM Stream
Paul O’Rorke on data science and building and contributing to strong analytics, data engineering and data science groups.
Antonio Piccolboni on RHadoop, an open source project combining the convenience and sophistication of R with the scalability of Hadoop.
Liana Ye on Transparent Information Infrastructure. A transparent information system means transparency in five different aspects: data, engineering, inner self, business and politics.