DataScienceCamp Silicon Valley

Session Schedule

Oct 25, 2014 Room Session Name
8:30 am - 9:00 am Registration for Tutorial
Pick up tutorial name tag, coffee, network
9:00 am - 11:00 am Town Hall (main room) Tutorial: Principal Component Analysis with Applications in R and Python
Irina Kukuyeva Ph.D.
Registration is $40 Abstract The tutorial aims to: (1) introduce attendees not familiar with Principal Component Analysis (PCA) to the commonly used dimension reduct...
10:30 am - 11:00 am Registration for Unconference
Pickup name tag, coffee, networking (for those who did not attend the morning tutorial)
11:00 am - 11:25 am Unconference kickoff
Welcome & Sponsor presentations
11:25 am - 12:25 pm Town Hall (main room) KEYNOTE PRESENTATION: An Update on Distributed Computing with Spark
Reza Zadeh
As computer clusters scale up, data flow models such as MapReduce have emerged as a way to run fault-tolerant computations on commodity hardware. Unfortunately, MapReduce is limited in efficiency for many numerical algorithms. We show how new data flow engines, such as Apache Spark, enable much fast...
12:25 pm - 1:15 pm Session Proposals (start with sessions proposed on this web site)
Propose Sessions, Vote on Sessions, Assign Sessions to Rooms
1:15 pm - 2:00 pm Lunch (thank you sponsors)
Sessions posted during lunch
2:00 pm - 3:00 pm Round 1 (6+ session rooms)
Room 1: TBD Room 2: TBD Room 3: TBD Room 4: TBD Room 5: TBD Room 6: TBD
3:00 pm - 4:00 pm Round 2 (6+ session rooms)
Room 1: TBD Room 2: TBD Room 3: TBD Room 4: TBD Room 5: TBD Room 6: TBD
4:00 pm - 5:00 pm Round 3 (6+ session rooms)
Room 1: TBD Room 2: TBD Room 3: TBD Room 4: TBD Room 5: TBD Room 6: TBD
5:00 pm - 6:00 pm Round 4 (6+ session rooms)
Room 1: TBD Room 2: TBD Room 3: TBD Room 4: TBD Room 5: TBD Room 6: TBD
6:00 pm - 6:30 pm Finished
Wrap up