Slides-Video

Please note that SLIDES+AUDIO are direct captures from a presenter’s laptop.  We have video of the speaker to add-in.  Also, a few VIDEOS still need to be edited due to a variety of “technical difficulties”.  These should be ready in 1-2 weeks.

 When  
1st Floor
 
10th / 11th Floor
FRIDAYR Beginner Workshop
6:00 - 8:45R Beginner Bootcamp - Joe Kambourakis and John Verostek
> SLIDES, DATA, CODE
.


SATURDAYData Science & EngineeringTwitter, Text Analytics and Big Data
9:00 - 10:20CommCare Usage Analysis - Rasmi Dayalu of Dimagi
> SLIDES > VIDEO

Introduction to the Data Science Method - David Weisman
> SLIDES ONLY
Using Twitter to Analyze Switching Across Cellphone Carriers - Tanya Cashorali
> SLIDES > video being edited

Topic Modelling Using R - Herb Susmann
> SLIDES > VIDEO
10:20 - 10:30BreakBreak
10:30 - 11:00


11:00 -12:00
Combining R Libraries into Automated Workflows - Dag Holmboe > SLIDES > SLIDES+AUDIO

General Linearized Mixed Models (GLMMs) in R - Julia Pilowsky > SLIDES > video being edited
Optimizing Multilingual Search Using Solr- David Troiano > SLIDES > VIDEO

Mining of Massive Datasets Using Locality Sensitive Hashing (LSH) - J Singh and Teresa Brooks
> SLIDES > VIDEO

12:00 - 1:00



Lunch


Lunch

SATURDAYData VisualizationData Science & Engineering
1:00 - 1:50DataViz Design Principles - Angela Bassa
> SLIDES
> VIDEO
HP Vertica Distributed R - Vincent Xu
> SLIDES > VIDEO

Massive Feature Selection Using Supercomputing in R - Jean-Loup Loyer > SLIDES > VIDEO
1:50 - 2:40Python DataViz Tour - Ian Stokes-Rees
>SLIDES+AUDIO > iPython Notebook
> Continuum Downloads including Anaconda
Robots, Small Molecules & R - Ingredients for Exploring and Predicting Biological Effects - Rajarshi Guha > SLIDES> VIDEO
2:40 - 3:00BreakBreak
3:00 - 3:50Interactive DataViz with R: ggvis, rCharts, Shiny - Abhinav Sarapure
> SLIDES
> SLIDES+AUDIO
High Dimensionality in Large Datasets - Sri Krishnamurthy
> SLIDES > VIDEO
3:50 - 4:40A Case Study Visualizing Boston's Subway System Using D3 and other Open Source tools - Mike Barry and Brian Card
> WEBSITE (BLOG, LINK TO CODE)
> VIDEO (WEBCAM VIEW)
Principles of Data Engineering- Edmund Jorgenson and Matt Papi
> SLIDES > VIDEO

Baseball and Data Engineering using Statistics, R & Python - Dan Milstein
> SLIDES > VIDEO


SUNDAYBeginner PythonBig Data Tools and Parallel Computing
9:00 - 9:50iPython Tutorial - Imran Malek
> WEBSITE (SLIDES, DATA, CODE)
Creating Custom Big Data Tools including Models, Hadoop Clusters, and DataViz - DigitasLBI > VIDEO

Introduction to Massively Parallel Databases - Wes Reing > VIDEO
10:00 - 10:50Regression Analysis with Python, Pandas, and StatsModels - Allen Downey
> ONLINE SLIDES > video being edited
R for Analyzing Big Expression Data Parallel Computing - Yuefeng Lu > SLIDES > VIDEO

Scaling R with ScaleR Packages - Steve Belcher
> VIDEO
11:00 - 11:50More Pandas! - Mali Akmanalp
> GITHUB (SLIDES, DATA, iPython NoteBook)

Orange Canvas: Python Data Mining - Justin Sun
> SLIDES
> VIDEO

Open-Source Data-Analysis for Bio-tech - Will Sutton
> SLIDES > video being edited
Introduction to Hive with Case Study on Storing and Querying Protobuf Logs in Hive - Muralikumar Venkat
> VIDEO

Gamification and Big Data - Nick Lim
> SLIDES > VIDEO

12:00 - 1:00

Visualizations for Exploring Data - Patrik Lundblad
> VIDEO

Lunch

SUNDAYMore PyData! + New Python LibrariesPython, Machine Learning, & Big Data
1:00 - 1:50Glue: a hackable user interface for multidimensional data exploration - Chris Beaumont
> SLIDES+AUDIO

> GLUE WEBSITE
> GITHUB (SLIDES, DATA, CODE, REFERENCES)
Data Science, YouTube, & Media Disruption - Pete Martin of Pixability
> SLIDES > video being edited

Building Predictive Models in Cloud using Microsoft Azure Machine Learning - Roope Astala
> VIDEO
1:50 - 2:40Statistical inference in Python the NIFTY way - Mike Bell
> ONLINE SLIDES > IPYTHON NOTEBOOK
> SLIDES+AUDIO

DrivenData.org: Python-based Site for Data Science Competitions - Greg Lipstein & Peter Bull
> DrivenData.org Website
> SLIDES
> SLIDES+AUDIO
Using Python's Machine Learning & Dynamic Control Libraries for Online Advertisement Analysis - Michael Els
> VIDEO (PRIMARILY A LIVE DEMO)
2:40 - 3:00BreakBreak
SUNDAYR BootcampMore PyData!
3:00 - Conference EndR Beginner Bootcamp - Joe Kambourakis and John Verostek
> SLIDES, DATA, CODE
Web Scraping Using Python's Beautiful Soup and Selenium - Laurie Skelly of Metis
> GITHUB (SLIDES, DATA, CODE, REFERENCES)
> VIDEO
> METIS DATA SCIENCE