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 |