Data Science Camp 2015
Details
Save the Date!
YOU MUST SIGN UP AT THIS LINK! For this event, we are not signing up through Meetup.
https://www.eventbrite.com/e/data-science-camp-silicon-valley-2015-tickets-17667573187
We (SF Bay ACM) have been putting on this mostly free Data Science unConference for several years. Come join us this year!
TO SUGGEST A SESSION (especially if YOU want to present one) or to VOTE ON SESSIONS use this link:
http://www.campsite.org/list/733
Here are some videos from our 2014 Data Science Camp
https://www.youtube.com/watch?v=n790ZKX-Sxw&list=PL87GtQd0bfJzt1mZZQSj7NCRLeFdh_How&index=1
Data Science Camp 2014 Playlist (https://www.youtube.com/playlist?list=PL87GtQd0bfJzt1mZZQSj7NCRLeFdh_How)
http://sfbayacm.org/event/data-science-camp-2015
YOU MUST SIGN UP AT THIS LINK! For this event, we are not signing up through Meetup.
https://www.eventbrite.com/e/data-science-camp-silicon-valley-2015-tickets-17667573187
Schedule
8:30 Tutorial registration
8:50 - 10:50 Tutorial: (to be determined) ($40)(Inviting proposals now)
10:30 Unconference Registration
11:00 Unconference Kickoff, welcome and Gold+ sponsor presentations
11:25 Keynote: Spark for Data Science, Big and Small (http://www.sfbayacm.org/event/spark-data-science-big-and-smal) by Joseph Bradley, Databricks (http://databricks.com/).
12:25 Session proposals, voting and assignment time slots and to rooms sized to match the voting
1:15 Lunch, posting of session matrix
2:00 Session time slot 1 (with rooms to support 6+ concurrent sessions)
3:00 Session time slot 2 (sessions are 50 minutes, with a 10 minute break between sessions)
4:00 Session time slot 35:00 Session time slot 4
6:00 Wrap up, invite session attendees to share highlights so you can hear about sessions you missed.
The keynote: Spark for Data Science, Big and Small (http://www.sfbayacm.org/event/spark-data-science-big-and-smal) discusses recent and upcoming advances in Apache Spark to facilitate data science. Spark’s wide adoption largely stems from allowing fast, iterative analysis, both on a laptop and on large computing clusters. This interactivity has led many data scientists to adopt Spark for both exploratory analysis and production modeling and scoring.
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YOU MUST SIGN UP AT THIS LINK! For this event, we are not signing up through Meetup.
https://www.eventbrite.com/e/data-science-camp-silicon-valley-2015-tickets-17667573187