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JH
Jennifer Haskell
Stanford Political Science
Monday
, June 27
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
Introduction to SparkR (Part 1)
Econ 140
2:30pm PDT
Introduction to SparkR (Part 2)
Econ 140
Tuesday
, June 28
1:18pm PDT
Transforming a museum to be data-driven using R
McCaw Hall
2:12pm PDT
FiveThirtyEight's data journalism workflow with R
McCaw Hall
3:30pm PDT
Literate Programming
McCaw Hall
4:45pm PDT
R at Microsoft
McCaw Hall
5:21pm PDT
broom: Converting statistical models to tidy data frames
McCaw Hall
Wednesday
, June 29
9:00am PDT
Towards a grammar of interactive graphics
McCaw Hall
10:30am PDT
Notebooks with R Markdown
McCaw Hall
10:48am PDT
Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R
McCaw Hall
11:06am PDT
On the emergence of R as a platform for emergency outbreak response
McCaw Hall
11:35am PDT
R's Role in Healthcare Data: Exploration, Visualization and Presentation
SIEPR 120
11:40am PDT
Chunked, dplyr for large text files
SIEPR 120
11:42am PDT
Classifying Murderers in Imbalanced Data Using randomForest
McCaw Hall
1:00pm PDT
Run-time Testing Using assertive
SIEPR 130
1:40pm PDT
Changing lives with Data Science at Microsoft
Lane & Lyons & Lodato
2:05pm PDT
Making the R community more open
Lane & Lyons & Lodato
2:30pm PDT
Developing R Tools for Energy Data Analysis
Sponsor Pavilion
Thursday
, June 30
1:25pm PDT
Two Cultures: From Stata to R
McCaw Hall
1:45pm PDT
Optimizing Food Inspections with Analytics
McCaw Hall
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Jun 27
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30, 2016
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, June 28
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Stanford, CA, United States
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Econ 140
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McDowell & Cranston
SIEPR 120
SIEPR 130
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Wallenberg Hall 124
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Analytics
Bayesian
Bioinformatics
Case study
Database
Generalized and mixed models
Graphics
Interactive
Kaleidoscope
Machine Learning
Miscellaneous
Packages and Development
Performance
R & other languages
R in business
Regression
Reproducible research
Spatial
Statistical Methods & Application
Statistics & Big Data
Teaching
Keynote
All
Daniela Witten
Deborah Nolan
Donald Knuth
Hadley Wickham
Richard Becker
Simon Urbanek
Lightning talk
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Lightning Talk
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Group 1
Group 2
R Initiatives
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R Initiatives
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Longyi Bi
Diane Grill
Tom Hay
Colin Gillespie
KG
Kent Gray
David Smith
Hadley Wickham
JP
John Painter
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