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Jorge Alberto Miranda

County of Los Angeles
Analyst
Greater Los Angeles Area

I have been an R user since 2013 when I first started working with a data reporting team at the Los Angeles County Probation Department. One of my goals in life is to convert more of my colleagues into R users and make R part of the County toolkit. With nearly 100,000 employees, I realize that may take a while. However, as a huge promoter of R, I have managed to train a few others and make it part of some daily tasks.

Looking forward to meeting you at the conference!

9:00am PDT

Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 1) Econ 140

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall Never Tell Me the Odds! Machine Learning with Class Imbalances (Part 2) Econ 140

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall Missing Value Imputation with R (Part 1) Barnes

2:30pm PDT

Effective Shiny Programming (Part 2) McCaw Hall Understanding and creating interactive graphics (Part 2) McDowell & Cranston

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

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

How can I get everyone else in my organisation to love R as much as I do? Econ 140

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

Experiences on the Use of R in the Water Sector SIEPR 120

1:36pm PDT

bigKRLS: Optimizing non-parametric regression in R Barnes & McDowell & Cranston

1:54pm PDT

A first-year undergraduate data science course SIEPR 130

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

DiLeMMa - Distributed Learning with Markov Chain Monte Carlo Algorithms with the ROAR Package Sponsor Pavilion

4:45pm PDT

flexdashboard: Easy interactive dashboards for R Lane & Lyons & Lodato

5:03pm PDT

Inside the Rent Zestimates Barnes & McDowell & Cranston

5:21pm PDT

Using Shiny modules to build more-complex and more-manageable apps Lane & Lyons & Lodato

5:39pm PDT

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

5:57pm PDT

Rectools: An Advanced Recommender System SIEPR 130

10:30am PDT

Importing modern data into R SIEPR 130 Predicting individual treatment effects Lane & Lyons & Lodato Profvis: Profiling tools for faster R code Econ 140

11:30am PDT

Performance Above Random Expectation: A more intuitive and versatile metric for evaluating probabilistic classifiers SIEPR 120

11:40am PDT

Chunked, dplyr for large text files SIEPR 120

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

1:18pm PDT

A Lap Around R Tools for Visual Studio McCaw Hall

1:54pm PDT

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

2:05pm PDT

Making the R community more open Lane & Lyons & Lodato

2:30pm PDT

Reproducible research works_with_R Sponsor Pavilion The markovchain R package Sponsor Pavilion

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

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

11:25am PDT

Outlier Detection Methods Econ 140

1:20pm PDT

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

1:35pm PDT

Understanding human behavior for applications in finance and social sciences: Insights from content analysis with novel Bayesian learning in R SIEPR 130

1:40pm PDT

Let's meet on satRday! McCaw Hall