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Szilard Pafka

Epoch
Chief Data Scientist
Santa Monica, California

https://linkedin.com/in/szilard

Szilard studied Physics in the 90s and has obtained a PhD by using statistical methods to investigate the risk of financial portfolios. Next he has worked in a bank quantifying and managing market risk. About a decade ago he moved to California to become the Chief Scientist of a credit card processing company doing everything data (ETL, analysis, modeling, visualization, machine learning etc). He is also the founder/organizer of several data science related meetups in Santa Monica (LA R, Data Science/Machine Learning, DataVis LA etc.) and the data community website http://datascience.la. LinkedIn: szilard Twitter: @DataScienceLA Github: @szilard

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140

10:15am PDT

Coffee Break McDowell & Cranston

10:30am PDT

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

12:00pm PDT

Lunch Lyons & Lodato

1:00pm PDT

Extracting data from the web APIs and beyond (Part 1) Campbell Rehearsal Hall Introduction to SparkR (Part 1) Econ 140 Missing Value Imputation with R (Part 1) Barnes Ninja moves with data.table - learn by doing in a cookbook style workshop (Part 1) Lane

2:15pm PDT

Coffee Break Lane

2:30pm PDT

Extracting data from the web APIs and beyond (Part 2) Campbell Rehearsal 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

10:30am PDT

R in machine learning competitions McCaw Hall Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

Connecting R to the OpenML project for Open Machine Learning McCaw Hall RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130

11:06am PDT

Bayesian analysis of generalized linear mixed models with JAGS Barnes & McDowell & Cranston R/qtl: Just Barely Sustainable Lane & Lyons & Lodato

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130 Fitting complex Bayesian models with R-INLA and MCMC Barnes & McDowell & Cranston

11:42am PDT

bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston FlashR: Enable Parallel, Scalable Data Analysis in R SIEPR 130

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato

1:36pm PDT

What can R learn from Julia Lane & Lyons & Lodato

2:12pm PDT

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

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall RCAP Designer: An RCloud Package to create Analytical Dashboards Sponsor Pavilion Urban Mobility Modeling using R and Big Data from Mobile Phones Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

Covr: Bringing Code Coverage to R Econ 140 How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston

5:03pm PDT

Crowd sourced benchmarks Econ 140 Deep Learning for R with MXNet SIEPR 130 Inside the Rent Zestimates Barnes & McDowell & Cranston

5:21pm PDT

broom: Converting statistical models to tidy data frames McCaw Hall Data validation infrastructure: the validate package Barnes & McDowell & Cranston

5:39pm PDT

A Future for R Econ 140 Rho: High Performance R McCaw Hall RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

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

Importing modern data into R SIEPR 130 Notebooks with R Markdown McCaw Hall Profvis: Profiling tools for faster R code Econ 140

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:06am PDT

Efficient tabular data ingestion and manipulation with MonetDBLite SIEPR 130

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:15am PDT

Building a High Availability REST API Engine for R SIEPR 120

11:24am PDT

Efficient in-memory non-equi joins using data.table SIEPR 130 Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

11:40am PDT

Chunked, dplyr for large text files SIEPR 120

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall Exploring the R / SQL boundary SIEPR 130 Interactive Terabytes with pbdR Econ 140

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 Tools for Robust R Packages SIEPR 130

1:36pm PDT

Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider McCaw Hall Extending CRAN packages with binaries: x13binary SIEPR 130 GNU make for reproducible data analysis using R and other statistical software Barnes & McDowell & Cranston

1:54pm PDT

Checkmate: Fast and Versatile Argument Checks SIEPR 130

2:12pm PDT

Using R in a regulatory environment: FDA experiences. McCaw Hall

2:30pm PDT

Data Quality Profiling - The First Step with New Data Sponsor Pavilion Giving a boost to renewable energy development: predicting reef fish community distributions in the Main Hawaiian Islands using boosted regression trees Sponsor Pavilion Helping Non-programmers Use R Sponsor Pavilion Plotting for Marketers - Seeing the Story Sponsor Pavilion Presidential Rankings: Visualization and Comparisons Sponsor Pavilion Reproducible research works_with_R Sponsor Pavilion request: A DSL for http requests Sponsor Pavilion The Use of Ensemble Learning Methods in Open Source Data Challenges Sponsor Pavilion

10:30am PDT

Shiny Gadgets: Interactive tools for Programming and Data Analysis McCaw Hall

10:48am PDT

Authoring Books with R Markdown McCaw Hall

10:50am PDT

ranger: A fast implementation of random forests for high dimensional data Lane & Lyons & Lodato

11:05am PDT

Using R at a rapidly scaling healthcare technology startup Econ 140

11:08am PDT

Superheat: Supervised heatmaps for visualizing complex data Lane & Lyons & Lodato

11:24am PDT

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

11:25am PDT

Outlier Detection Methods Econ 140

11:42am PDT

Most Likely Transformations McCaw Hall rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics SIEPR 130 Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:00pm PDT

Hash Tables in R are Slow SIEPR 130

1:15pm PDT

Getting R into your bathroom McCaw Hall

1:20pm PDT

shinyjs: Easily improve UX in your Shiny apps without having to learn JavaScript SIEPR 130

1:25pm PDT

Weather Alerts Data with R SIEPR 130

1:30pm PDT

The Best Time to Post on Reddit McCaw Hall

1:40pm PDT

Let's meet on satRday! McCaw Hall

2:00pm PDT

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

3:00pm PDT

Closing Remarks McCaw Hall