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.

Nick Carchedi

DataCamp
Director of Course Development
Boston, MA

Passionate about teaching data science at scale.

9:00am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140 Using Git and GitHub with R, Rstudio, and R Markdown (Part 1) Lyons & Lodato

10:30am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140 Using Git and GitHub with R, Rstudio, and R Markdown (Part 2) Lyons & Lodato

1:00pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 1) SIEPR 130 Effective Shiny Programming (Part 1) McCaw Hall Extracting data from the web APIs and beyond (Part 1) Campbell Rehearsal Hall

2:30pm PDT

An Introduction to Bayesian Inference using R Interfaces to Stan (Part 2) SIEPR 130 Effective Shiny Programming (Part 2) McCaw Hall Extracting data from the web APIs and beyond (Part 2) Campbell Rehearsal Hall

4:15pm PDT

What's up with the R consortium? McCaw Hall

10:48am PDT

Connecting R to the OpenML project for Open Machine Learning McCaw Hall

11:42am PDT

jailbreakr: Get out of Excel, free McCaw Hall

1:00pm PDT

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

1:18pm PDT

htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato Integrated R labs for high school students SIEPR 130

1:54pm PDT

A first-year undergraduate data science course SIEPR 130

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall Teaching R to 200 people in a week SIEPR 130

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

R at Microsoft McCaw Hall

5:03pm PDT

Inside the Rent Zestimates Barnes & McDowell & Cranston New Paradigms In Shiny App Development: Designer + Data Scientist Pairing Lane & Lyons & Lodato

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall

5:39pm PDT

A Future for R Econ 140

5:57pm PDT

Rectools: An Advanced Recommender System SIEPR 130 Rethinking R Documentation: an extension of the lint package Econ 140

6:30pm PDT

Welcome Reception Bing Concert Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Profvis: Profiling tools for faster R code Econ 140

10:48am PDT

ETL for medium data SIEPR 130

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:18pm PDT

A Lap Around R Tools for Visual Studio McCaw Hall

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

Helping Non-programmers Use R Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

4:30pm PDT

Cruise & Conference Dinner McCaw Hall

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 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

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

11:40am PDT

rfmt - A new formatter for R source code Econ 140

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall