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Giorgio Ballardin

eBay
Data Scientist
San Jose, CA

I mostly work on economics model applied to the eBay marketplace. I use Econometrics, as well as Statistics and Machine Learning in my day-to-day work.

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

Missing Value Imputation with R (Part 1) Barnes

2:30pm PDT

Missing Value Imputation with R (Part 2) Barnes

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

9:00am PDT

Forty years of S McCaw Hall

10:30am PDT

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

10:48am PDT

RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130

11:06am PDT

trackeR: Intrastructure for running and cycling data from GPS-enabled tracking devices in R McCaw Hall

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am PDT

FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

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

1:36pm PDT

CVXR: An R Package for Modeling Convex Optimization Problems McCaw Hall

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions SIEPR 130

5:03pm PDT

Deep Learning for R with MXNet SIEPR 130

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall

5:39pm PDT

xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

5:57pm PDT

Colour schemes in data visualisation: Bias and Precision McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Predicting individual treatment effects Lane & Lyons & Lodato

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

10:48am PDT

permuter: An R package for randomization inference Barnes & McDowell & Cranston

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:24am PDT

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

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:20pm PDT

How Teradata Aster R Scales Data Science Lane & Lyons & Lodato

1:54pm PDT

Approximate inference in R: A case study with GLMMs and glmmsr Econ 140

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

Gradient Boosted Trees Model: deploying R models into production environments* Lane & Lyons & Lodato

10:48am PDT

Authoring Books with R Markdown McCaw Hall 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

11:06am PDT

Estimation of causal effects in network-dependent data McCaw Hall

11:26am PDT

Big data algorithms for rank-based estimation Lane & Lyons & Lodato

11:42am PDT

rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics SIEPR 130

1:15pm PDT

Getting R into your bathroom McCaw Hall

1:35pm PDT

Interact with Python from within R McCaw Hall

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall