This event has ended. Visit the official site or create your own event on Sched.

user2016

Click here to return to main conference site. For a one page, printable overview of the schedule, see this.

Tom Hay

ConsenSys Academy
Academy Director
Washington, DC

https://consensys.net/academy/

I'm Director of ConsenSys Academy. We build educational products to teach about the blockchain. Former Director of Data Strategy @ Uplift Education, former Associate @ Booz Allen Hamilton. SDP Alumni - Cohort 6.

8:00am

Registration check-in McCaw Hall

9:00am

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:30am

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

1:00pm

Effective Shiny Programming (Part 1) McCaw Hall

2:30pm

Effective Shiny Programming (Part 2) McCaw Hall

8:30am

Opening Session McCaw Hall

9:00am

Forty years of S McCaw Hall

10:30am

bamdit: An R Package for Bayesian meta-analysis of diagnostic test data Barnes & McDowell & Cranston

10:48am

Implementing R in old economy companies: From proof-of-concept to production Econ 140

11:06am

R: The last line of defense against bad debt Econ 140

11:24am

Automating our work away: One consulting firm's experience with KnitR Econ 140

11:42am

jailbreakr: Get out of Excel, free McCaw Hall

1:00pm

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

1:18pm

Transforming a museum to be data-driven using R McCaw Hall

1:36pm

Introducing Statistics with intRo SIEPR 130

1:54pm

A first-year undergraduate data science course SIEPR 130

2:12pm

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm

Bridging the Data Visualization to Digital Humanities gap: Introducing the Interactive Text Mining Suite Sponsor Pavilion

3:30pm

Literate Programming McCaw Hall

4:45pm

R at Microsoft McCaw Hall

5:03pm

New Paradigms In Shiny App Development: Designer + Data Scientist Pairing Lane & Lyons & Lodato

5:21pm

Data validation infrastructure: the validate package Barnes & McDowell & Cranston

5:39pm

RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston

5:57pm

Rectools: An Advanced Recommender System SIEPR 130

6:30pm

Welcome Reception Bing Concert Hall

9:00am

Towards a grammar of interactive graphics McCaw Hall

10:30am

Importing modern data into R SIEPR 130

10:48am

Size of Datasets for Analytics and Implications for R Econ 140

11:06am

On the emergence of R as a platform for emergency outbreak response McCaw Hall

11:24am

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

11:42am

Exploring the R / SQL boundary SIEPR 130

1:00pm

R at Google Lane & Lyons & Lodato

1:18pm

A Lap Around R Tools for Visual Studio McCaw Hall

1:36pm

Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider McCaw Hall Revisiting the Boston data set (Harrison and Rubinfeld, 1978) SIEPR 120

1:54pm

Spatial data in R: simple features and future perspectives SIEPR 120

2:12pm

Providing Digital Provenance: from Modeling through Production Barnes & McDowell & Cranston

2:30pm

Data Quality Profiling - The First Step with New Data Sponsor Pavilion

3:30pm

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

9:00am

Statistical Thinking in a Data Science Course McCaw Hall

10:30am

Data Landscapes: a pragmatic and philosophical visualisation of the sustainable urban landscape SIEPR 130

10:48am

Practical tools for exploratory web graphics SIEPR 130

11:06am

Using Shiny for Formative Assessments Barnes & McDowell & Cranston

11:24am

Revolutionize how you teach and blog: add interactivity Barnes & McDowell & Cranston

11:42am

Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

1:00pm

Catching up with Rstudio Lane & Lyons & Lodato

1:25pm

Two Cultures: From Stata to R McCaw Hall

1:35pm

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

2:00pm

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