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Alfredo Marquez
Target
Sr. Data Scientist
Greater Minneapolis-St. Paul Area
Monday
, June 27
9:00am PDT
Machine Learning Algorithmic Deep Dive (Part 1)
Campbell Rehearsal Hall
1:00pm PDT
Extracting data from the web APIs and beyond (Part 1)
Campbell Rehearsal Hall
2:30pm PDT
Effective Shiny Programming (Part 2)
McCaw Hall
Tuesday
, June 28
10:30am PDT
Using Spark with Shiny and R Markdown
SIEPR 130
10:48am PDT
Implementing R in old economy companies: From proof-of-concept to production
Econ 140
11:06am PDT
Bayesian analysis of generalized linear mixed models with JAGS
Barnes & McDowell & Cranston
11:24am PDT
Automating our work away: One consulting firm's experience with KnitR
Econ 140
11:42am PDT
FlashR: Enable Parallel, Scalable Data Analysis in R
SIEPR 130
1:18pm PDT
htmlwidgets: Power of JavaScript in R
Lane & Lyons & Lodato
1:36pm PDT
A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho
SIEPR 120
1:54pm PDT
A first-year undergraduate data science course
SIEPR 130
2:12pm PDT
FiveThirtyEight's data journalism workflow with R
McCaw Hall
Wednesday
, June 29
10:30am PDT
Importing modern data into R
SIEPR 130
Notebooks with R Markdown
McCaw Hall
Profvis: Profiling tools for faster R code
Econ 140
10:48am PDT
Size of Datasets for Analytics and Implications for R
Econ 140
11:24am PDT
Efficient in-memory non-equi joins using data.table
SIEPR 130
11:42am PDT
Classifying Murderers in Imbalanced Data Using randomForest
McCaw Hall
Exploring the R / SQL boundary
SIEPR 130
Interactive Terabytes with pbdR
Econ 140
1:00pm PDT
R at Google
Lane & Lyons & Lodato
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
2:05pm PDT
Making the R community more open
Lane & Lyons & Lodato
2:12pm PDT
High performance climate downscaling in R
SIEPR 120
2:30pm PDT
Transforming R Into an Enterprise Level Tool for Multi-Genre Data Discovery and Operationalization
Sponsor Pavilion
3:30pm PDT
Flexible and Interpretable Regression Using Convex Penalties
McCaw Hall
Thursday
, June 30
9:00am PDT
Statistical Thinking in a Data Science Course
McCaw Hall
10:30am PDT
Shiny Gadgets: Interactive tools for Programming and Data Analysis
McCaw Hall
A Shiny App is Worth 1000**3 Words: A Case Study in Displaying Three-Dimensional Dose Combination Response Data
Econ 140
10:48am PDT
Practical tools for exploratory web graphics
SIEPR 130
10:50am PDT
ranger: A fast implementation of random forests for high dimensional data
Lane & Lyons & Lodato
11:08am PDT
Superheat: Supervised heatmaps for visualizing complex data
Lane & Lyons & Lodato
11:24am PDT
Revolutionize how you teach and blog: add interactivity
Barnes & McDowell & Cranston
11:42am PDT
rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics
SIEPR 130
1:20pm PDT
shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript
SIEPR 130
1:35pm PDT
Interact with Python from within R
McCaw Hall
2:00pm PDT
RCloud - Collaborative Environment for Visualization and Big Data Analytics
McCaw Hall
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30, 2016
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Stanford, CA, United States
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Daniela Witten
Deborah Nolan
Donald Knuth
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Richard Becker
Simon Urbanek
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R Initiatives
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Longyi Bi
Diane Grill
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KG
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JP
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