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Deborah Nolan
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Oliver Bracht
eoda GmbH
Chief Data Scientist
Kassel / Germany
eoda.de
At the useR Conference I am excited to meet the community and to see what's new. I am exspecially interessted in business cases and the professional usage of R within companies.
Monday
, June 27
8:00am PDT
Registration check-in
McCaw Hall
9:00am PDT
Machine Learning Algorithmic Deep Dive (Part 1)
Campbell Rehearsal Hall
10:30am PDT
Machine Learning Algorithmic Deep Dive (Part 2)
Campbell Rehearsal Hall
1:00pm PDT
Extracting data from the web APIs and beyond (Part 1)
Campbell Rehearsal Hall
2:30pm PDT
Extracting data from the web APIs and beyond (Part 2)
Campbell Rehearsal Hall
4:15pm PDT
What's up with the R consortium?
McCaw Hall
4:40pm PDT
Presentation of the Women in R task force
McCaw Hall
5:00pm PDT
R-Ladies Presentation 1
McCaw Hall
5:10pm PDT
R-Ladies Presentation 2
McCaw Hall
5:20pm PDT
Discussion
McCaw Hall
Tuesday
, June 28
8:00am PDT
Registration check-in
McCaw Hall
8:30am PDT
Opening Session
McCaw Hall
9:00am PDT
Forty years of S
McCaw Hall
10:00am PDT
Coffee Break with Poster Exhibits
McCaw Hall
10:30am PDT
edeaR: Extracting knowledge from process data
Econ 140
10:48am PDT
Implementing R in old economy companies: From proof-of-concept to production
Econ 140
11:06am PDT
R: The last line of defense against bad debt
Econ 140
11:24am PDT
Automating our work away: One consulting firm's experience with KnitR
Econ 140
11:42am PDT
How can I get everyone else in my organisation to love R as much as I do?
Econ 140
12:00pm PDT
Lunch with Poster Exhibits
Sponsor Pavilion
1:18pm PDT
Transforming a museum to be data-driven using R
McCaw Hall
1:36pm PDT
What can R learn from Julia
Lane & Lyons & Lodato
1:54pm PDT
Zero-overhead integration of R, JS, Ruby and C/C++
Lane & Lyons & Lodato
2:12pm PDT
RosettaHUB-Sheets, a programmable, collaborative web-based spreadsheet for R, Python and Spark
Lane & Lyons & Lodato
2:30pm PDT
Coffee Break w/ Poster Session
McCaw Hall
Urban Mobility Modeling using R and Big Data from Mobile Phones
Sponsor Pavilion
3:30pm PDT
Literate Programming
McCaw Hall
4:30pm PDT
Short Break
McCaw Hall
4:45pm PDT
R at Microsoft
McCaw Hall
5:03pm PDT
Inside the Rent Zestimates
Barnes & McDowell & Cranston
5:21pm PDT
Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification
SIEPR 130
5:39pm PDT
RServer: Operationalizing R at Electronic Arts
Barnes & McDowell & Cranston
5:57pm PDT
Applying R in streaming and Business Intelligence applications
Barnes & McDowell & Cranston
6:30pm PDT
Welcome Reception
Bing Concert Hall
Wednesday
, June 29
9:00am PDT
Towards a grammar of interactive graphics
McCaw Hall
10:00am PDT
Coffee Break with Poster Exhibits
McCaw Hall
10:30am PDT
Profvis: Profiling tools for faster R code
Econ 140
10:48am PDT
Size of Datasets for Analytics and Implications for R
Econ 140
11:06am PDT
Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs though RAMBO
Econ 140
11:24am PDT
Grid Computing in R with Easy Scalability
Econ 140
11:42am PDT
Interactive Terabytes with pbdR
Econ 140
12:00pm PDT
Lunch with Poster Exhibits
McCaw Hall
1:00pm PDT
R at Google
Lane & Lyons & Lodato
1:18pm PDT
A Lap Around R Tools for Visual Studio
McCaw Hall
1:36pm PDT
Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider
McCaw Hall
GNU make for reproducible data analysis using R and other statistical software
Barnes & McDowell & Cranston
1:54pm PDT
The simulator: An Engine for Streamlining Simulations
Barnes & McDowell & Cranston
2:12pm PDT
Providing Digital Provenance: from Modeling through Production
Barnes & McDowell & Cranston
2:30pm PDT
Coffee Break with Poster Session
McCaw Hall
Profile Analysis of Multivariate Data Using the profileR Package
Sponsor Pavilion
3:30pm PDT
Flexible and Interpretable Regression Using Convex Penalties
McCaw Hall
4:30pm PDT
Cruise & Conference Dinner
McCaw Hall
Thursday
, June 30
9:00am PDT
Statistical Thinking in a Data Science Course
McCaw Hall
10:00am PDT
Coffee Break w/ Poster Exhibits
McCaw Hall
10:30am PDT
A Shiny App is Worth 1000**3 Words: A Case Study in Displaying Three-Dimensional Dose Combination Response Data
Econ 140
10:35am PDT
Introduce R package: Tree Branches Evaluated Statistically for Tightness (TBEST)
Econ 140
10:40am PDT
Forecasting Revenue for S&P 500 Companies Using the baselineforecast Package
Econ 140
10:45am PDT
Clustering of Hierarchically-Linked Multivariate Datasets
Econ 140
10:50am PDT
NetworkRiskMeasures: risk measures for (financial) networks, such as DebtRank, Impact Susceptibility, Impact Diffusion and Impact Fluidity.
Econ 140
10:55am PDT
GeoFIS: an R-based open source software for analyzing and zoning spatial data
Econ 140
11:05am PDT
Using R at a rapidly scaling healthcare technology startup
Econ 140
11:10am PDT
Event Detection with Social Media Data
Econ 140
11:15am PDT
Convenient educational & psychological test reporting with the QME package & a Shiny UI
Econ 140
11:25am PDT
Outlier Detection Methods
Econ 140
11:30am PDT
gtfsr: A package to make transit system analysis easy
Econ 140
11:35am PDT
Handling Huge Hierachical Data in R
Econ 140
11:40am PDT
rfmt - A new formatter for R source code
Econ 140
12:00pm PDT
Lunch w/ Poster Exhibits
McCaw Hall
2:00pm PDT
RCloud - Collaborative Environment for Visualization and Big Data Analytics
McCaw Hall
3:00pm PDT
Closing Remarks
McCaw Hall
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R & other languages
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Daniela Witten
Deborah Nolan
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R Initiatives
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Longyi Bi
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