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Soma Datta

University Of Houston Clear Lake
Assistant Professor
datta@uhcl.edu

R in decision trees and Apriori, Controlled decision trees, Teaching R in school.

8:00am PDT

Registration check-in McCaw Hall

10:15am PDT

Coffee Break Econ 140

10:30am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140

12:00pm PDT

Lunch McDowell & Cranston

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall

2:15pm PDT

Coffee Break McCaw Hall

2:30pm PDT

Effective Shiny Programming (Part 2) McCaw Hall

4:00pm PDT

Short Break McCaw 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

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

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

1:18pm PDT

Integrated R labs for high school students SIEPR 130

1:36pm PDT

Introducing Statistics with intRo SIEPR 130

1:54pm PDT

A first-year undergraduate data science course SIEPR 130

2:12pm PDT

Teaching R to 200 people in a week SIEPR 130

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall Multi-stage Decision Method To Generate Rules For Student Retention Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

6:30pm PDT

Welcome Reception Bing Concert Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Predicting individual treatment effects Lane & Lyons & Lodato

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:18pm PDT

How to use the archivist package to boost reproducibility of your research Barnes & McDowell & Cranston

1:36pm PDT

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 Approaches to R education in Canadian universities Sponsor Pavilion Helping Non-programmers Use R Sponsor Pavilion Reproducible research works_with_R Sponsor Pavilion The Use of Ensemble Learning Methods in Open Source Data Challenges Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

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

swirl-tbp: a package for interactively learning R programming and data science through the addition of 'template-based practice' problems in swirl Barnes & McDowell & Cranston

11:25am PDT

Outlier Detection Methods Econ 140

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:15pm PDT

Getting R into your bathroom McCaw Hall

1:35pm PDT

Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall

3:00pm PDT

Closing Remarks McCaw Hall