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- The post announces a BigDataWeek session of the SF Data Mining meetup, hosted by Todd Holloway at Trulia.
- The post states SriSatish Ambati of 0xdata presented on scaling GLM, Random Forest, and other algorithms using the AllState Kaggle dataset.
- The post notes Mikio Braun also spoke at the event about mining data streams using the streamdrill tool.
- The post reports that over 250 people had RSVPed to the meetup, drawn from the community of data scientists in the region.
Todd Holloway hosts the SF Data Mining meetup at Trulia and brings a lot of goodness to the community of data scientists here. We are fortunate to present for his group and bigdataweek . 0xdata’s own SriSatish Ambati will be giving a talk on H2O. Sri’s talk will dive into scaling GLM (Generlaized Linear Model), Random Forest , and other popular algorithms to use on big data such as the AllState Kaggle dataset. Also speaking is Mikio Braun , who is visiting San Francisco from Germany. He will be talking about mining data streams using streamdrill . With over 250 RSVP’s its looking like its going to be a good one. You can sign up here. The SF Data Mining meetup focuses on all aspects of the data pipeline–from data acquisition and big data storage to machine learning and data visualization