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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